INDUSTRIAL ELECTRONICS Part-1 Fundamentals of industrial electronics Section-1 Supporting technologies Electronics Darrell vines and tom baginski Introduction Diodes Transistors as switches Models for transistors Analog and digital circuits 2 Digital control circuits marc Courvoisier Michel combacan,and Mario paludetto Logic control Sequence control Implementation techniques 3 Computer architecture victor p. nelson Hardware organization Computer software Imformation representation in digital computers Specifying instruction operands CPU registers Memory organization Computer instruction types Interrupts and exceptions Evaluating instruction set architectures Computer system design Input/output device interfaces Microcontroller architectures Multiple processor architectures 4 Signal processing james A. heinen and Russell J. niederjohn Introduction Continuous-time signals Time-domain analysis of continuous-time signals Frequency-domain analysis of continuous-time signals Continuous-time signal processors Time-domain analysis of continuous-time signal processors Frequency-domain analysis of continuous-time signal processors Continuous-time filters Sampling Discrete –time signals Time-domain analysis of discrete-time signals Frequency-domain analysis of discrete-time signals Discrete-time signal processors Time-domain analysis of discrete-time signal processors Frequency-domain analysis of discrete-time signal processors Discrete-time filters Discrete-time analysis of continuous-time signals Discrete-time processing of continuous-time signals Section II data acquisition and measurement systems 5 Sensors Charles W. einolf jr Introduction Passive sensors Active sensors 6 Measurement system architecture Introduction Patrick L walter System considerations Patrick L walter Signal conditioning and filtering david Ryerson Signal/data transmission components otis Solomon and William boyer Software data correction William boyer and david Ryerson Computers in instrumentation systems William boyer Software for instrumentation systems William boyer Calibration and testing Richard pettit Digital signal processing belle upadhyaya Signal pick-up and interface circuitry Thaddeus roppel Thermal effects in industrial electronic circuits ray p reed Lossless waveform compression giridhar mandyam, neeraj magotra Samuel D. stearns D streans ,Li-Zhe tan and wes McCoy 3-D measurement techniques Bernard C. jiang Section III power electronics 7 Introduction to power electronics janos bencze Introduction Power supplies Electric drives Application examples Future trends 8 Overview: devices and components Malay trivedi,sameer pendhakar, and Krishna shemai Introduction Diode Thyristor Transistors New devices 9 Devices and components Power diodes imre ipsits Power bipolar junction transistors imre ipsits Passive networks karoly kurutz 10 Power MOSFETs Vrej barkhordarian Introduction Static characteristics Dynamic characteristics Applications 11 Insulated gate bipolar transistors Michael robinson,Richard francis,ranadeep Introduction Basic structure and operation Design considerations Requirement for anti-parallel diode Comparison between the power MOSFET,IGBT, and MCT IGBT data sheet parameters Appendix: typical IGBT data sheet 12 Conversion AC-DC converters Attila karpati DC-DC converters istvan nagy DC-AC conversion Attila karpati AC-AC conversion sandor halasz Resonant converters istvan nagy 13 Motor drives Control systems and applications takamasa hori DC motor control systems takamasa hori Induction motor control systems takamasa hori, hiroshi nagase and mitsuyuki hombu Synchronous motor control M.F. rahman and khiang-wee lim Step motor drives Ronald H. brown Servo drives Ronald H. brown Servo drives sandor halasz Switched reluctance motor drives jozsef borka 14 Main disturbances Power quality James stanislawski Reactive power and harmonics compensation Gerry heydt New power converters Prasad enjeti Uninterruptible power supplies laura steffek john hecklesmiller,dave layden,and brian young 15 Electromagnetic compatibility for drives walt maslowski Compatibility: emissions and immunity Section IV factory communications 16 Evolution of factory communication W. timothy Point-to-point communications Network communications Advantages of network interconnection Communications requirements for distributed systems 17 Open systems interconnection basic reference model Robert M. Hines Introduction Physical layer Datalink layer Network layer Transport layer Session layer Presentation layer Application layer 18 Local area networks Ethernet and IEEE802.3 contention bus Alfred C. weaver IEEE 802.5 token ring john W. sublet IEEE 802.4 token bus Alfred C. weaver Field bus jean-dominique decotignic Fiber distributed data interface Robert W. Christie Asynchronous transfer mode Curtis L mosffit 19 Manufacturing automation protocol juan R. Pimentel History Purpose Description Standards used Example of use 20 Essential communications protocols Datalink protocols Bert j. Dempsey Network protocols debapriya sarkar Transport layer protocols bert J. Dempsey Section V system control 21 Control system fundamentals A.S. hodel Modeling Controller design Intelligent control Other control approaches 22 Modeling for system control A john boye and William L. brogan Introduction Analytical modeling Defining the problem Determining the system components Writing the system equations Verifying the model Empirical or experimental modeling 23 Basic feedback concept T.H Lee, C, C. hang and K. K tan Beneficial Effects of feedback Analysis of design of feedback control systems Implementation of feedback control systems 24 Stability analysis N.K sinha Stability analysis for linear systems Stability of linear time-invariant continuous-time systems Stability of linear time-invariant discrete-time systems Nonlinear systems 25 PID control james C. hung Introduction Classical PID control Remarks 26 Bode diagram method john parr Bode diagram analysis Mathematical model determination Correlation of frequency response and time response Shaping the cutoff response Compensator design Design for digital systems 27 The locus method Robert J. veillette and J. alexis de Abreu-Garcia Motivation and background Root locus analysis Compensator deisgn by root locus method Examples 28 Pole placement design Michael greene and victor trent Pole placement State observation Discrete implementation 29 The smith predictor technique john Y. hung Background-control of processes having time delay Basic principle of the smith predictor A smith predictor design example 30 Internal model controls james C. hung Basic IMC structures IMC design Discussion 31 Model predictive control jay H. lee Overview Applications 32 Dynamic matrix control james C. hung The dynamic matrix Output projection Control computation Remarks 33 Disturbance observation-cancellation technique kouhei ohnishi Why estimate disturbance? Plant and disturbance Higher-order disturbance approximation Disturbance observation Disturbance cancellation Examples of application Conclusions 34 Phase-locked loop-based control guan-chyun hsieh Introduction Configurations of PLL applications Analog, digital, and hybrid PLLs Popular PLL integrated circuits 35 Variable structure control technique vadim utkin Introduction Mathematical aspects Sliding mode control design Chattering problem Control of manipulators Control of mobile robots Control of railway wheel set Control of torsion oscillations of a flexible shaft DC motors Control of DC motors based on a reduced-order model Conclusion 36 Digital computations James R. Rowland System response Numerical integration formulas Exact difference equations for linear systems Summary 37 Digital control john Y. hung and victor trent Introduction Discretization of continuous-time systems Discretization of the servomotor system Frequency domain design through the w-transform Root locus design on the unit circle Simulation comparisons 38 Estimation and identification Thomas S. denney Jr Kalman filters Other types of kalman filters Identification 39 Fuzzy logic-based control Mo-yuen chow Introduction to intelligent control DC motor Dynamics Fuzzy control Conclusion and future direction 40 Neural network-based control dian-cheng zhang Control configuration Design procedure 41 Programmable logic control (PLC) Ernst dummermuth Basic concepts Hardware components PLC real-time operating systems Software components PLC communications Selecting the right PLC 42. Adaptive control Stephen T. hung Introduction Update strategies Direct adaptive control Indirect adaptive control Adaptive/self-tuning behavior Summary 43. Hardware compensating networks Royce d. harbor and Charles L. Philips Continuous compensation Other compensation procedures 44. Synthesis and analysis dan bugajski ,dale Enns mike Jackson , blaise morton Defining the interconnection structure H-synthesis u-analysis and D scales D-K iteration Changing weights Compensator model reduction Summary Section VI Factory automation 45 An overview of factory automation Richard zurawski Introduction New technologies for factory automation 46. Types of automated manufacturing systems Ljubisa vlacic,walter wong and Theodore J. Williams The hierarchical model presentation of manufacturing activities Enterprise/factory integration The methodology for CIE/CIM Architectures of automated manufacturing systems Implementations of factory automation systems Flexible manufacturing systems 47 Production management architecture Rakesh nagi and jean-marie proth Introduction Production management in the sixties and beyond Components of the hierarchical production management system Long-term production plan Master production scheduling Capacity requirement planning MRP philosophy Application of the MRP Conclusion 48 Production management techniques upendra belhe and Andrew kusiak Material requirements planning Manufacturing resource planning Optimized production technology Toyota system and just-in-time The kanban concept 49 Automated manufacturing system development methodology Analysis of foundational properties of specification and design models of industrial automated Systems Richard zurawski and meng chu zhou Automated manufacturing system design using analytical techniques sunderesh S. heragu and Christopher M. Lucarelli Discrete event simulation mengchu Zhou, Anthony D. robbi and Richard zurawski 50. Hybrid systems and control tarek M.sobh Introduction Discrete event and hybrid observation under uncertainty Conclusions 51. Virtual manufacturing environment Robert G. Wilhelm Introduction Scope for virtual manufacturing Typical applications Emerging technology 52 Signal processing for factory production lines rokuya ishii Introduction Examples of signal processing systems 53 Robots Robots: qualities and capabilities ray Jarvis Robot vision ray Jarvis Ultrasonic sensors Lindsay kleeman Robot tactile sensing R. Andrew Russell A robotic sense of smell R. Andrew Russell Actuators in robotics and automation systems Marcelo H. ang Jr. and choon-seng yee Control fathi ghorbel Mobile robots Miguel A. salichs,luis Moreno,diego gachet,arthuro de la escalera and juan R pimental Teleperators antal k. bejczy Part-2 Intelligent electronics and emerging technologies Section VII) Expert systems and neural networks Expert systems 54 Current applications of expert systems in industrial electronics Mary lou Padgett and Robert Shelton Emerging trends for systems in industrial electronics Defining terms Resources 55 Expert systems methodology gary riley Capturing human expertise in a program Rule-based programming Truth table simplification program 56 Expert systems and their use in complex engineering systems Robert E uhring and lefteri H. tsoukalas Introduction Definition of expert systems Characteristics of expert systems Components of an expert system Knowledge representation and inference Uncertainty management State of the art of expert systems Use of expert systems Potential implementation issues for expert systems Legal aspects of expert systems Use of expert systems in nuclear power plants Neural networks 57 Strategies and tactics for the application of neural networks to industrial mary lou Padgett, paul Werbos, and teuvo kohonen Computational intelligence connections and future Engineering intelligent electronics applications Summary of basic modeling concepts Applications Future Defining terms Resources 58 The basic ideas in neural networks david E. rumelhart ,Bernard widrow, and Michael lehr Introduction Learning by example Generalization Hints for successful applications 59 Neural networks on a chip Clifford lau Artificial neural network technology compared with conventional Examples of chips Comparisons of NN VLSI microchips Applications of neural network technology BMDO/IST demonstration project: 3-D ANN silicon neuron seeker 60 Commercially available artificial neural network chips seth wolpert Introduction Analog ANN products Digital ANN products Hybrid ANN products Discussion 61 Implementing neural networks in silicon seth wolpert and evangelia micheli-tznakou Introduction The living neuron Neurological process modeling 62 An avionics application: MIMD neural network processor Richard saeks NNP architecture Summary 63 Backprogation to neurocontrol paul J. werbos Neurcontrol: where it is going and why it is crucial 64 CMAC neural networks and color correction king- lung huang Introduction High-order CMAC neural networks for color correction Experimental result Conclusion 65 Temporal signal processing simon haykin Introduction Temporal neural networks with observable states Temporal neural networks with hidden states Conclusions 66 Feature selection for pattern recognition using multilayer perceptrons dennis W. ruck and steven K. rogers Introduction Background Methodology Applications Conclusions 67 Wavelets for pattern recognition George w. Rogers, david J. marchette, and Jeffrey L. solka Wavelet-based segmentation Resistive grid local averaging Examples 68 Fractals for pattern recognition George W. rogers, carey E. priebe, and Jeffrey L. solka A PDP approach to localized fractal dimension computation with segmentation boundaries 69 Multilayer perceptrons with ALOPEX and back propagation Daniel A. zahner and evangelia micheli-tzanakou Introduction The backpropagation algorithm The ALOPEX algorithm Multilayer perceptron network ALOPEX in VLSI Discussion 70 Supervised neural networks for handwritten digit recognition in industrial processing Evangelia micheli-tzanokou Introduction Preprocessing of handwritten digit images Zernike moments to characterize image patterns Dimensionality reduction Analysis of prediction error rates from bootstrapping assessment Summary 71 Neocognitron kunihiko fukushima Neocognitron Selective attention model (SAM) 72 Studies of pattern recognition with self-learning layered neural networks faiq A. fazal and Evangelia micheli-tzanakou Abstract Introduction Neocognitron and pattern classification Objectives Methods Study A Study B Summary and discussion 73 Analog 3-D Neuroprocessor for fast frame focal plane image processing tuan A. duong Sabrina kemeny Taher daud, anil, thakoor ,chirs saunders and john carson Introduction Neural network architecture Neural network design and operation Experimental results Cascade-back propagation Six-bit parity problem Conclusions 74 Simulated annealing, Boltzmann machine, and hardware annealing tony H. Wu and bing J. sheu Simulated annealing Boltzmann machine Hardware annealing on Hopfield networks for optimization Hardware annealing on cellular neural networks 75 Radial basis function neural networks Thomas lindblad, Clark s Lindsey and age eide Introduction Topology Operation Training Summary Defining terms 76 Hardware implemented radial basis function the IBM zero instruction set computer Thomas lindblad ,clark S. Lindsey, and age Eide Introduction The ZISCO36 VLSI chip Processing and training Implementing the chip Summary and extrapolations 77 The RCE neural network douglas L. reilly Introduction Training the RCE network RCE network responses Practical guides to RCE to pattern recognition RCE network on a commercially available neural network chip 78 Probabilistic neural networks model Donald F. specht Basic PNN Adaptive PNN High-speed Classification Other considerations Summary 79 General regression neural network model Donald F. specht GRNN Adaptive GRNN Summary 80 Classifiers: an overview wooGon chung and evangelia micheli-tzanakou Introduction Criteria for optimal classifier design Categorizing the classifiers Classifiers Neural networks Comparison of experimental results System performance assessment Analysis of prediction rates from bootstrapping assessment Section VII fuzzy systems and soft computing 81 applications of fuzzy systems and soft computing in industrial electronics mary lou Padgett Introduction From basic implementations to new research 82 Fuzzy numbers: the application of fuzzy algebra to safety and risk analysis J. arlin cooper Background Analytical processing of input data Fuzzy-algebra background Fuzzy-algebra depiction of uncertainty Examples applications 83 Fuzzy systems Mo-yuen chow Brief description of fuzzy logic Qualitative to quantitative descripti Fuzzy operations Fuzzy control 84 Fuzzy hardware mary lou Padgett Introduction Challenges and rewards Approaches Futures Defining terms 85 Fuzzy modeling and applications: controls visions, decisions mary lou Padgett Introduction Engineering approaches Futures 86 Fuzzy logic control: basics and applications Robert N. lea,yashvant joni and joseph A. mica Introduction A simple example of fuzzy logic control The example of the inverted pendulum Remote manipulator system Collision avoidance Summary 87 Development of an intelligent unmanned helicopter based on fuzzy systems michio sugeno Howard A. Winston, isao hirano and satoru kotsu Introduction Helicopter hardware system Software system for helicopter control Results Conclusions 88 Fuzzy and neural modeling mary lou Padgett Introduction Engineering approaches and applications Futures 89 NeuFuz: A combined neural net/fuzzy logic tool Thomas lindblad and clark S. Lindsey Introduction Working with the neural network of neufuz4 Working with the fuzzy logic part of neufuz4 Working with the code generator part of neufuz4 Summary 90 Neural network learning in fuzzy systems yashvant jani and Robert N. lea Introduction Reinforcement learning Architecture of ARIC ARIC and 6 DOF space operations GARIC and attitude control Six degree-of-freedom proximity operations trajectory controller 91 Neurocontrol and elastic fuzzy logic: capabilities concepts, and applications paul J. werbos Introduction Neurocontrol in general Basic principles of design Supervised learning for neurocontrol Elastic fuzzy logic: principle and subroutines Current designs in neurocontrol : A roadmap Appendix 92 Integrated health monitoring and control in rotorcraft machines gary G. yen Introduction Artificial neural networks Fuzzy-based feed forward neural network FDIA architecture Simulation study Conclusions 93 Autonomous neural control in flexible space structures gary G. yen Learning control system Adaptive time-delay radial function network Eigen structure bidirectional associative memory Fault detection and identification Reconfigurable studies Conclusion 94 Fuzzy pattern recognition witold pedrycz Introduction remarks-pattern recognition in the framework of fuzzy sets The general methodological structure of fuzzy modeling Formation of the feature space Implicit and explicit knowledge representation in pattern recognition From supervised to unsupervised pattern recognition-A continuum of classification models Implicit and explicit knowledge representation in pattern recognition From supervised to unsupervised pattern recognition-A continuum of classification models Fuzzy neural structures Supervised learning Implicitly supervised pattern recognition Unsupervised learning 95 Neural Fuzzy systems in handwritten digit recognition timothy J. Dasey and evangelia micheli-tzanakou Introduction System design Application to handwritten digits Discussion Summary 96 Fuzzy algorithms for learning vector quantization nicolaos B. karayiannis Introduction Learning vector quantization Generalized learning vector quantization Fuzzy learning vector quantization algorithms GLVQ-F and FLVQ algorithms Fuzzy algorithms for learning vector quantization The FALVQ 1 family of algorithms The FALVQ 2 family of algorithms The FALVQ 3 family of algorithms Competition measures Alternative FALVQ algorithms Experimental results Discussion and concluding remarks 97 Adaptive resonance theory gail A. carpenter and Stephen grossberg Math-based learning and error-based learning ART and fuzzy logic ART dynamics Fuzzy art Fuzzy artmap Fuzzy art algorithm Fuzzy ARTMAP algorithm ART applications 98 Future directions for fuzzy systems and soft computing in industrial electronics mary lou Padgett and Lotfi A. zadeh 99 applications of evolutionary systems in industrial electronics mary lou Padgett and v. rao vemuri Introduction From basic implementations to new research Defining terms 100 Evolutionary computation mary lou Padgett Introduction Design of evolutionary systems Applications Summary
INDUSTRIAL ELECTRONICS
Part-1 Fundamentals of industrial electronics
Section-1 Supporting technologies
Electronics Darrell vines and tom baginski
Introduction
Diodes
Transistors as switches
Models for transistors
Analog and digital circuits
2 Digital control circuits marc Courvoisier Michel combacan,and Mario paludetto
Logic control
Sequence control
Implementation techniques
3 Computer architecture victor p. nelson
Hardware organization
Computer software
Imformation representation in digital computers
Specifying instruction operands
CPU registers
Memory organization
Computer instruction types
Interrupts and exceptions
Evaluating instruction set architectures
Computer system design
Input/output device interfaces
Microcontroller architectures
Multiple processor architectures
4 Signal processing james A. heinen and Russell J. niederjohn
Continuous-time signals
Time-domain analysis of continuous-time signals
Frequency-domain analysis of continuous-time signals
Continuous-time signal processors
Time-domain analysis of continuous-time signal processors
Frequency-domain analysis of continuous-time signal processors
Continuous-time filters
Sampling
Discrete –time signals
Time-domain analysis of discrete-time signals
Frequency-domain analysis of discrete-time signals
Discrete-time signal processors
Time-domain analysis of discrete-time signal processors
Frequency-domain analysis of discrete-time signal processors
Discrete-time filters
Discrete-time analysis of continuous-time signals
Discrete-time processing of continuous-time signals
Section II data acquisition and measurement systems
5 Sensors Charles W. einolf jr
Passive sensors
Active sensors
6 Measurement system architecture
Introduction Patrick L walter
System considerations Patrick L walter
Signal conditioning and filtering david Ryerson
Signal/data transmission components otis Solomon and William boyer
Software data correction William boyer and david Ryerson
Computers in instrumentation systems William boyer
Software for instrumentation systems William boyer
Calibration and testing Richard pettit
Digital signal processing belle upadhyaya
Signal pick-up and interface circuitry Thaddeus roppel
Thermal effects in industrial electronic circuits ray p reed
Lossless waveform compression giridhar mandyam, neeraj magotra Samuel D. stearns D streans ,Li-Zhe tan and wes McCoy
3-D measurement techniques Bernard C. jiang
Section III power electronics
7 Introduction to power electronics janos bencze
Power supplies
Electric drives
Application examples
Future trends
8 Overview: devices and components Malay trivedi,sameer pendhakar, and Krishna shemai
Diode
Thyristor
Transistors
New devices
9 Devices and components
Power diodes imre ipsits
Power bipolar junction transistors imre ipsits
Passive networks karoly kurutz
10 Power MOSFETs Vrej barkhordarian
Static characteristics
Dynamic characteristics
Applications
11 Insulated gate bipolar transistors Michael robinson,Richard francis,ranadeep
Basic structure and operation
Design considerations
Requirement for anti-parallel diode
Comparison between the power MOSFET,IGBT, and MCT
IGBT data sheet parameters
Appendix: typical IGBT data sheet
12 Conversion
AC-DC converters Attila karpati
DC-DC converters istvan nagy
DC-AC conversion Attila karpati
AC-AC conversion sandor halasz
Resonant converters istvan nagy
13 Motor drives
Control systems and applications takamasa hori
DC motor control systems takamasa hori
Induction motor control systems takamasa hori, hiroshi nagase and mitsuyuki hombu
Synchronous motor control M.F. rahman and khiang-wee lim
Step motor drives Ronald H. brown
Servo drives Ronald H. brown
Servo drives sandor halasz
Switched reluctance motor drives jozsef borka
14 Main disturbances
Power quality James stanislawski
Reactive power and harmonics compensation Gerry heydt
New power converters Prasad enjeti
Uninterruptible power supplies laura steffek john hecklesmiller,dave layden,and brian young
15 Electromagnetic compatibility for drives walt maslowski
Compatibility: emissions and immunity
Section IV factory communications
16 Evolution of factory communication W. timothy
Point-to-point communications
Network communications
Advantages of network interconnection
Communications requirements for distributed systems
17 Open systems interconnection basic reference model Robert M. Hines
Physical layer
Datalink layer
Network layer
Transport layer
Session layer
Presentation layer
Application layer
18 Local area networks
Ethernet and IEEE802.3 contention bus Alfred C. weaver
IEEE 802.5 token ring john W. sublet
IEEE 802.4 token bus Alfred C. weaver
Field bus jean-dominique decotignic
Fiber distributed data interface Robert W. Christie
Asynchronous transfer mode Curtis L mosffit
19 Manufacturing automation protocol juan R. Pimentel
History
Purpose
Description
Standards used
Example of use
20 Essential communications protocols
Datalink protocols Bert j. Dempsey
Network protocols debapriya sarkar
Transport layer protocols bert J. Dempsey
Section V system control
21 Control system fundamentals A.S. hodel
Modeling
Controller design
Intelligent control
Other control approaches
22 Modeling for system control A john boye and William L. brogan
Analytical modeling
Defining the problem
Determining the system components
Writing the system equations
Verifying the model
Empirical or experimental modeling
23 Basic feedback concept T.H Lee, C, C. hang and K. K tan
Beneficial Effects of feedback
Analysis of design of feedback control systems
Implementation of feedback control systems
24 Stability analysis N.K sinha
Stability analysis for linear systems
Stability of linear time-invariant continuous-time systems
Stability of linear time-invariant discrete-time systems
Nonlinear systems
25 PID control james C. hung
Classical PID control
Remarks
26 Bode diagram method john parr
Bode diagram analysis
Mathematical model determination
Correlation of frequency response and time response
Shaping the cutoff response
Compensator design
Design for digital systems
27 The locus method Robert J. veillette and J. alexis de Abreu-Garcia
Motivation and background
Root locus analysis
Compensator deisgn by root locus method
Examples
28 Pole placement design Michael greene and victor trent
Pole placement
State observation
Discrete implementation
29 The smith predictor technique john Y. hung
Background-control of processes having time delay
Basic principle of the smith predictor
A smith predictor design example
30 Internal model controls james C. hung
Basic IMC structures
IMC design
Discussion
31 Model predictive control jay H. lee
Overview
32 Dynamic matrix control james C. hung
The dynamic matrix
Output projection
Control computation
33 Disturbance observation-cancellation technique kouhei ohnishi
Why estimate disturbance?
Plant and disturbance
Higher-order disturbance approximation
Disturbance observation
Disturbance cancellation
Examples of application
Conclusions
34 Phase-locked loop-based control guan-chyun hsieh
Configurations of PLL applications
Analog, digital, and hybrid PLLs
Popular PLL integrated circuits
35 Variable structure control technique vadim utkin
Mathematical aspects
Sliding mode control design
Chattering problem
Control of manipulators
Control of mobile robots
Control of railway wheel set
Control of torsion oscillations of a flexible shaft
DC motors
Control of DC motors based on a reduced-order model
Conclusion
36 Digital computations James R. Rowland
System response
Numerical integration formulas
Exact difference equations for linear systems
Summary
37 Digital control john Y. hung and victor trent
Discretization of continuous-time systems
Discretization of the servomotor system
Frequency domain design through the w-transform
Root locus design on the unit circle
Simulation comparisons
38 Estimation and identification Thomas S. denney Jr
Kalman filters
Other types of kalman filters
Identification
39 Fuzzy logic-based control Mo-yuen chow
Introduction to intelligent control
DC motor Dynamics
Fuzzy control
Conclusion and future direction
40 Neural network-based control dian-cheng zhang
Control configuration
Design procedure
41 Programmable logic control (PLC) Ernst dummermuth
Basic concepts
Hardware components
PLC real-time operating systems
Software components
PLC communications
Selecting the right PLC
42. Adaptive control Stephen T. hung
Update strategies
Direct adaptive control
Indirect adaptive control
Adaptive/self-tuning behavior
43. Hardware compensating networks Royce d. harbor and Charles L. Philips
Continuous compensation
Other compensation procedures
44. Synthesis and analysis dan bugajski ,dale Enns mike Jackson , blaise morton
Defining the interconnection structure
H-synthesis
u-analysis and D scales
D-K iteration
Changing weights
Compensator model reduction
Section VI Factory automation
45 An overview of factory automation Richard zurawski
New technologies for factory automation
46. Types of automated manufacturing systems Ljubisa vlacic,walter wong and Theodore J. Williams
The hierarchical model presentation of manufacturing activities
Enterprise/factory integration
The methodology for CIE/CIM
Architectures of automated manufacturing systems
Implementations of factory automation systems
Flexible manufacturing systems
47 Production management architecture Rakesh nagi and jean-marie proth
Production management in the sixties and beyond
Components of the hierarchical production management system
Long-term production plan
Master production scheduling
Capacity requirement planning
MRP philosophy
Application of the MRP
48 Production management techniques upendra belhe and Andrew kusiak
Material requirements planning
Manufacturing resource planning
Optimized production technology
Toyota system and just-in-time
The kanban concept
49 Automated manufacturing system development methodology
Analysis of foundational properties of specification and design models of industrial automated
Systems Richard zurawski and meng chu zhou
Automated manufacturing system design using analytical techniques sunderesh S. heragu and
Christopher M. Lucarelli
Discrete event simulation mengchu Zhou, Anthony D. robbi and Richard zurawski
50. Hybrid systems and control tarek M.sobh
Discrete event and hybrid observation under uncertainty
51. Virtual manufacturing environment Robert G. Wilhelm
Scope for virtual manufacturing
Typical applications
Emerging technology
52 Signal processing for factory production lines rokuya ishii
Examples of signal processing systems
53 Robots
Robots: qualities and capabilities ray Jarvis
Robot vision ray Jarvis
Ultrasonic sensors Lindsay kleeman
Robot tactile sensing R. Andrew Russell
A robotic sense of smell R. Andrew Russell
Actuators in robotics and automation systems Marcelo H. ang Jr. and choon-seng yee
Control fathi ghorbel
Mobile robots Miguel A. salichs,luis Moreno,diego gachet,arthuro de la escalera and juan R pimental
Teleperators antal k. bejczy
Part-2 Intelligent electronics and emerging technologies
Section VII) Expert systems and neural networks
Expert systems
54 Current applications of expert systems in industrial electronics
Mary lou Padgett and Robert Shelton
Emerging trends for systems in industrial electronics
Defining terms
Resources
55 Expert systems methodology gary riley
Capturing human expertise in a program
Rule-based programming
Truth table simplification program
56 Expert systems and their use in complex engineering systems Robert E uhring and lefteri H. tsoukalas
Definition of expert systems
Characteristics of expert systems
Components of an expert system
Knowledge representation and inference
Uncertainty management
State of the art of expert systems
Use of expert systems
Potential implementation issues for expert systems
Legal aspects of expert systems
Use of expert systems in nuclear power plants
Neural networks
57 Strategies and tactics for the application of neural networks to industrial mary lou Padgett, paul
Werbos, and teuvo kohonen
Computational intelligence connections and future
Engineering intelligent electronics applications
Summary of basic modeling concepts
Future
58 The basic ideas in neural networks david E. rumelhart ,Bernard widrow, and Michael lehr
Learning by example
Generalization
Hints for successful applications
59 Neural networks on a chip Clifford lau
Artificial neural network technology compared with conventional
Examples of chips
Comparisons of NN VLSI microchips
Applications of neural network technology
BMDO/IST demonstration project: 3-D ANN silicon neuron seeker
60 Commercially available artificial neural network chips seth wolpert
Analog ANN products
Digital ANN products
Hybrid ANN products
61 Implementing neural networks in silicon seth wolpert and evangelia micheli-tznakou
The living neuron
Neurological process modeling
62 An avionics application: MIMD neural network processor Richard saeks
NNP architecture
63 Backprogation to neurocontrol paul J. werbos
Neurcontrol: where it is going and why it is crucial
64 CMAC neural networks and color correction king- lung huang
High-order CMAC neural networks for color correction
Experimental result
65 Temporal signal processing simon haykin
Temporal neural networks with observable states
Temporal neural networks with hidden states
66 Feature selection for pattern recognition using multilayer perceptrons dennis W. ruck and steven K. rogers
Background
Methodology
67 Wavelets for pattern recognition George w. Rogers, david J. marchette, and Jeffrey L. solka
Wavelet-based segmentation
Resistive grid local averaging
68 Fractals for pattern recognition George W. rogers, carey E. priebe, and Jeffrey L. solka
A PDP approach to localized fractal dimension computation with segmentation boundaries
69 Multilayer perceptrons with ALOPEX and back propagation Daniel A. zahner and evangelia micheli-tzanakou
The backpropagation algorithm
The ALOPEX algorithm
Multilayer perceptron network
ALOPEX in VLSI
70 Supervised neural networks for handwritten digit recognition in industrial processing
Evangelia micheli-tzanokou
Preprocessing of handwritten digit images
Zernike moments to characterize image patterns
Dimensionality reduction
Analysis of prediction error rates from bootstrapping assessment
71 Neocognitron kunihiko fukushima
Neocognitron
Selective attention model (SAM)
72 Studies of pattern recognition with self-learning layered neural networks faiq A. fazal and
Evangelia micheli-tzanakou
Abstract
Neocognitron and pattern classification
Objectives
Methods
Study A
Study B
Summary and discussion
73 Analog 3-D Neuroprocessor for fast frame focal plane image processing tuan A. duong Sabrina kemeny
Taher daud, anil, thakoor ,chirs saunders and john carson
Neural network architecture
Neural network design and operation
Experimental results
Cascade-back propagation
Six-bit parity problem
74 Simulated annealing, Boltzmann machine, and hardware annealing tony H. Wu and bing J. sheu
Simulated annealing
Boltzmann machine
Hardware annealing on Hopfield networks for optimization
Hardware annealing on cellular neural networks
75 Radial basis function neural networks Thomas lindblad, Clark s Lindsey and age eide
Topology
Operation
Training
76 Hardware implemented radial basis function the IBM zero instruction set computer
Thomas lindblad ,clark S. Lindsey, and age Eide
The ZISCO36 VLSI chip
Processing and training
Implementing the chip
Summary and extrapolations
77 The RCE neural network douglas L. reilly
Training the RCE network
RCE network responses
Practical guides to RCE to pattern recognition
RCE network on a commercially available neural network chip
78 Probabilistic neural networks model Donald F. specht
Basic PNN
Adaptive PNN
High-speed Classification
Other considerations
79 General regression neural network model Donald F. specht
GRNN
Adaptive GRNN
80 Classifiers: an overview wooGon chung and evangelia micheli-tzanakou
Criteria for optimal classifier design
Categorizing the classifiers
Classifiers
Comparison of experimental results
System performance assessment
Analysis of prediction rates from bootstrapping assessment
Section VII fuzzy systems and soft computing
81 applications of fuzzy systems and soft computing in industrial electronics mary lou Padgett
From basic implementations to new research
82 Fuzzy numbers: the application of fuzzy algebra to safety and risk analysis J. arlin cooper
Analytical processing of input data
Fuzzy-algebra background
Fuzzy-algebra depiction of uncertainty
Examples applications
83 Fuzzy systems Mo-yuen chow
Brief description of fuzzy logic
Qualitative to quantitative descripti
Fuzzy operations
84 Fuzzy hardware mary lou Padgett
Challenges and rewards
Approaches
Futures
85 Fuzzy modeling and applications: controls visions, decisions mary lou Padgett
Engineering approaches
86 Fuzzy logic control: basics and applications Robert N. lea,yashvant joni and joseph A. mica
A simple example of fuzzy logic control
The example of the inverted pendulum
Remote manipulator system
Collision avoidance
87 Development of an intelligent unmanned helicopter based on fuzzy systems michio sugeno
Howard A. Winston, isao hirano and satoru kotsu
Helicopter hardware system
Software system for helicopter control
Results
88 Fuzzy and neural modeling mary lou Padgett
Engineering approaches and applications
89 NeuFuz: A combined neural net/fuzzy logic tool Thomas lindblad and clark S. Lindsey
Working with the neural network of neufuz4
Working with the fuzzy logic part of neufuz4
Working with the code generator part of neufuz4
90 Neural network learning in fuzzy systems yashvant jani and Robert N. lea
Reinforcement learning
Architecture of ARIC
ARIC and 6 DOF space operations
GARIC and attitude control
Six degree-of-freedom proximity operations trajectory controller
91 Neurocontrol and elastic fuzzy logic: capabilities concepts, and applications paul J. werbos
Neurocontrol in general
Basic principles of design
Supervised learning for neurocontrol
Elastic fuzzy logic: principle and subroutines
Current designs in neurocontrol : A roadmap
Appendix
92 Integrated health monitoring and control in rotorcraft machines gary G. yen
Artificial neural networks
Fuzzy-based feed forward neural network
FDIA architecture
Simulation study
93 Autonomous neural control in flexible space structures gary G. yen
Learning control system
Adaptive time-delay radial function network
Eigen structure bidirectional associative memory
Fault detection and identification
Reconfigurable studies
94 Fuzzy pattern recognition witold pedrycz
Introduction remarks-pattern recognition in the framework of fuzzy sets
The general methodological structure of fuzzy modeling
Formation of the feature space
Implicit and explicit knowledge representation in pattern recognition
From supervised to unsupervised pattern recognition-A continuum of classification models
Fuzzy neural structures
Supervised learning
Implicitly supervised pattern recognition
Unsupervised learning
95 Neural Fuzzy systems in handwritten digit recognition timothy J. Dasey and evangelia micheli-tzanakou
System design
Application to handwritten digits
96 Fuzzy algorithms for learning vector quantization nicolaos B. karayiannis
Learning vector quantization
Generalized learning vector quantization
Fuzzy learning vector quantization algorithms
GLVQ-F and FLVQ algorithms
Fuzzy algorithms for learning vector quantization
The FALVQ 1 family of algorithms
The FALVQ 2 family of algorithms
The FALVQ 3 family of algorithms
Competition measures
Alternative FALVQ algorithms
Discussion and concluding remarks
97 Adaptive resonance theory gail A. carpenter and Stephen grossberg
Math-based learning and error-based learning
ART and fuzzy logic
ART dynamics
Fuzzy art
Fuzzy artmap
Fuzzy art algorithm
Fuzzy ARTMAP algorithm
ART applications
98 Future directions for fuzzy systems and soft computing in industrial electronics mary lou Padgett and
Lotfi A. zadeh
99 applications of evolutionary systems in industrial electronics mary lou Padgett and v. rao vemuri
100 Evolutionary computation mary lou Padgett
Design of evolutionary systems
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