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Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities (Frontiers in Applied Mathematics)

F. L. Lewis; J. Campos; R. Selmic

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ISBN 10: 0898715059 / ISBN 13: 9780898715057
Editorial: Society for Industrial Mathematics, 2002
Usado Condición: Used: Good Encuadernación de tapa dura
Librería: Ergodebooks (RICHMOND, TX, Estados Unidos de America)

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Título: Neuro-Fuzzy Control of Industrial Systems ...

Editorial: Society for Industrial Mathematics

Año de publicación: 2002

Encuadernación: Hardcover

Condición del libro:Used: Good

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Sinopsis:

Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing with complicated nonlinear actuator dynamics. Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent controllers to compensate for actuator nonlinearities such as time delay, friction, deadzone, and backlash that can be found in all industrial motion systems, plus a thorough development, rigorous stability proofs, and simulation examples for each design. In the final chapter, the authors develop a framework to implement intelligent control schemes on actual systems. Rigorous stability proofs are further verified by computer simulations, and appendices contain the computer code needed to build intelligent controllers for real-time applications.

Book Description:

Brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent controllers to compensate for actuator nonlinearities.

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