Robust Control Systems with Genetic Algorithms

✍ Scribed by dos S. Coelho, Leandro; Fleming, Peter J.; Jamshidi, Mo; Krohling, Renato A

• Publisher: CRC Press
• Year: 2002
• Tongue: English
• Leaves: 220
• Series: CRC Press control series
• Category: Library

✦ Synopsis

GENETIC ALGORITHMS Introduction to Genetic AlgorithmsTerms and Definitions RepresentationFitness FunctionGenetic OperatorsGenetic Algorithms for OptimizationGenetic ProgrammingConclusionsReferencesOPTIMAL ROBUST CONTROLIntroduction to the Control TheoryNorms of Signals and FunctionsDescription of Model UncertaintyRobust Stability and Disturbance RejectionController DesignOptimizationConclusionsReferencesMETHODS FOR CONTROLLER DESIGN USING GENETIC ALGORITHMSIntroduction to Controller Design Using GeneticAlgorithmsDesign of Optimal Robust Controller withFixed-StructureDesign of Optimal Disturban. Read more...

Abstract:

Links genetic algorithms (GAs) and the design of robust control systems. Laying a foundation in the basics of GAs and genetic programming, this work demonstrates the power of these tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. Read more...

✦ Table of Contents

Content: Front cover
Dedications
Preface
Table of Contents
chapter one. Genetic algorithms
chapter two. Optimal robust control
chapter three. Methods for controller design using genetic algorithms
chapter four. Predictive and variable structure control designs
chapter five. Design methods, simulation results, and conclusion
chapter six. Tuning fuzzy logic controllers for robust control system design
chapter seven. GA-fuzzy hierarchical control design approach
chapter eight. Autonomous robot navigation through fuzzy genetic programming* Chapter nine. Robust control system design: A hybrid H-infinity/multiobjective optimization approachappendix A. Fuzzy sets, logic and control
Back cover

✦ Subjects

Автоматизация;Теория автоматического управления (ТАУ);