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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