Ditemukan 1 dokumen yang sesuai dengan query
Lewis, F.L.
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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. 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 ...
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Philadelphia : Society for Industrial and Applied Mathematics, 2002
e20443147
eBooks Universitas Indonesia Library
