An edition of Soft Computing for Control of Non-Linear Dynamical Systems
(2001)
Soft Computing for Control of Non-Linear Dynamical Systems
by Oscar Castillo
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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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1
Soft Computing for Control of Non-Linear Dynamical Systems
2001, Physica-Verlag HD, Imprint: Physica
electronic resource /
in English
3662003678 9783662003671
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Book Details
Table of Contents
Introduction to Control of Non-Linear Dynamical Systems
Fuzzy Logic
Neural Networks for Control
Genetic Algorithms and Simulated Annealing
Dynamical Systems Theory
Hybrid Intelligent Systems for Time Series Prediction
Modelling Complex Dynamical Systems with a Fuzzy Inference System for Differential Equations
A New Theory of Fuzzy Chaos for Simulation of Non-Linear Dynamical Systems
Intelligent Control of Robotic Dynamic Systems
Controlling Biochemical Reactors
Controlling Aircraft Dynamic Systems
Controlling Electrochemical Processes
Controlling International Trade Dynamics.
Edition Notes
Online full text is restricted to subscribers.
Also available in print.
Mode of access: World Wide Web.
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