Soft Computing for Control of Non-Linear Dynamical Systems
By: by Oscar Castillo, Patricia Melin
Contributors: Melin, Patricia
Series: Studies in Fuzziness and Soft Computing -- 63; Studies in Fuzziness and Soft Computing -- 63
Publisher: Physica-Verlag HD; Imprint: Physica
Published: 2001
Place of publication: Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 221
ISBN-13: 9783662003671; 9783790818321
Subjects: Mathematical Economics; Mathematical optimization; Computer science; Artificial intelligence
Description: The book describes the application of soft computing techniques to modelling, simulation and control of non-linear dynamical systems. Hybrid intelligence systems, which integrate different techniques and mathematical models, are also presented. The book covers the basics of fuzzy logic, neural networks, evolutionary computation, chaos and fractal theory. It also presents in detail different hybrid architectures for developing intelligent control systems for applications in robotics, reactors, manufacturing, aircraft systems and economics.
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Also available in print.

Mode of access: World Wide Web.
Table of contents: title: Introduction to Control of Non-Linear Dynamical Systems; title: Fuzzy Logic; title: Neural Networks for Control; title: Genetic Algorithms and Simulated Annealing; title: Dynamical Systems Theory; title: Hybrid Intelligent Systems for Time Series Prediction; title: Modelling Complex Dynamical Systems with a Fuzzy Inference System for Differential Equations; title: A New Theory of Fuzzy Chaos for Simulation of Non-Linear Dynamical Systems; title: Intelligent Control of Robotic Dynamic Systems; title: Controlling Biochemical Reactors; title: Controlling Aircraft Dynamic Systems; title: Controlling Electrochemical Processes; title: Controlling International Trade Dynamics.