Syllabus For The Subject Industrial Electronics

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            

 

  

    

                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              

 

 

 

  

 

 

 

 

 

  

      

 

  

  

      

  

 

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