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Více informací o knize Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

• Parametry knihy
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities
• Autor: F. L. LewisJ. CamposR. Selmic
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 258
• EAN: 9780898715057
• ISBN: 0898715059
• ID: 02050126
• Nakladatelství: Society for Industrial & Applied Mathematics,U.S.
• Hmotnost: 635 g
• Rozměry: 229 × 181 × 17 mm

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