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Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities (Frontiers in Applied Mathematics, Series Number 24) - Hardcover
Synopsis
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.
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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.
About the Author
Frank L. Lewis is Associate Director for Research and Head of the Advanced Controls, Sensors, and MEMS Group at the Automation and Robotics Research Institute at the University of Texas at Arlington.
Javier Campos is Linux Consultant Engineer at Montavista Software, Inc. in Irving, Texas.
Rastko Selmic is DSP Systems Engineer at Signalogic, Inc. in Dallas, Texas.
"About this title" may belong to another edition of this title.
- PublisherSociety for Industrial and Applied Mathematics
- Publication date1987
- ISBN 10 0898715059
- ISBN 13 9780898715057
- BindingHardcover
- LanguageEnglish
- Number of pages258
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Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities (Frontiers in Applied Mathematics, Series Number 24)
Published by
Society for Industrial and Applied Mathematics 98/n /01 J, 1987
ISBN 10: 0898715059
ISBN 13: 9780898715057
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Stock Image
Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities (Frontiers in Applied Mathematics, Series Number 24)
Published by
Society for Industrial and Applied Mathematics 98/n /01 J, 1987
ISBN 10: 0898715059
ISBN 13: 9780898715057
Used
Hardcover
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Seller rating 5 out of 5 stars
Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Seller Inventory # 6545-9780898715057
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