Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities

Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities

by Frank L. Lewis, Javier Campos, Rastko Selmic

244 pages· 2002· ISBN 9780898717563
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Rigorous stability proofs are further verified by computer simulations, and appendices contain the computer code needed to build intelligent controllers for real-time applications. Neural networks capture the parallel processing and learning capabilities of biological nervous systems, and fuzzy logic captures the decision-making capabilities of human linguistics and cognitive systems.

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