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...
Author(s): dos S. Coelho, Leandro; Fleming, Peter J.; Jamshidi, Mo; Krohling, Renato A
Series: CRC Press control series
Publisher: CRC Press
Year: 2002
Language: English
Pages: 220
City: Hoboken
Tags: Автоматизация;Теория автоматического управления (ТАУ);
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
