Computational Intelligence in Control

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Mohammadian, Masoud
Idea Group Inc (IGI), Jul 1, 2002 - Education - 348 pages
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The problem of controlling uncertain dynamic systems, which are subject to external disturbances, uncertainty and sheer complexity is of considerable interest in computer science, Operations Research and Business domains. The application of intelligent systems has been found useful in problems when the process is either difficult to model or difficult to solve by conventional methods. Intelligent systems have attracted increasing attention in recent years for solving many complex problems. Computational Intelligence in Control will be a repository for the theory and applications of intelligent systems techniques in modelling control and automation.

 

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Contents

Chapter I Designing Neural Network Ensembles by Minimising Mutual Information
1
Chapter II A Perturbation Size Independent Analysis of Robustness in Neural Networks by Randomized Algorithms
22
Chapter III Helicopter Motion Control Using a General Regression Neural Network
41
Chapter IV A Biologically Inspired Neural Network Approach to RealTime Map Building and Path Planning
69
SECTION II Hybrid Evolutionary Systems for Modelling Control and Robotics Applications
87
Chapter V Evolutionary Learning of Fuzzy Control in RobotSoccer
88
Chapter VI Evolutionary Learning of a BoxPushing Controller
104
Chapter VII Computational Intelligence for Modelling and Control of MultiRobot Systems
122
SECTION IV Machine Learning Evolutionary Optimisation and Information Retrieval
182
Chapter XI Simulation Model for the Control of Olive Fly Bactrocera Oleae Using Artificial Life Technique
183
Chapter XII Applications of DataDriven Modelling and Machine Learning in Control of Water Resources
197
Chapter XIII Solving Two MultiObjective Optimization Problems Using Evolutionary Algorithm
217
Formulation Lower Bounds Encoding and Controlled Evolutionary Approach
233
Chapter XV The Effect of MultiParent Recombination on Evolution Strategies for Noisy Objective Functions
261
A Comparison of Algorithms Used for Information Retrieval
279
A Case Study
301

Chapter VIII Integrating Genetic Algorithms and Finite Element Analyses for Structural Inverse Problems
136
SECTION III Fuzzy Logic and Bayesian Systems
147
Chapter IX On the Modelling of a Human Pilot Using Fuzzy Logic Control
148
Chapter X Bayesian Agencies in Control
168
About the Authors
321
Index
333
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