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9780898715057 Academic Inspection Copy

Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities

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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. This book 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. 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.
Preface Chapter 1: Background on Neural Networks and Fuzzy Logic Systems Chapter 2: Background on Dynamical Systems and Industrial Actuators Chapter 3: Neurocontrol of Systems with Friction Chapter 4: Neural and Fuzzy Control of Systems with Deadzones Chapter 5: Neural Control of Systems with Backlash Chapter 6: Fuzzy Logic Control of Vehicle Active Suspension Chapter 7: Neurocontrol Using the Adaptive Critic Architecture Chapter 8: Neurocontrol of Telerobotic Systems with Time Delays Chapter 9: Implementation of Neural Network Control Systems Appendix A: C Code for Neural Network Friction Controller Appendix B: C Code for Continuous-Time Neural Network Deadzone Controller Appendix C: C Code for Discrete-Time Neural Network Backlash Controller Appendix D: Versatile Real-Time Executive Code for Implementation of Neural Network Backstepping Controller on ATB1000 Tank Gun Barrel References Index.
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