Neuro-fuzzy control of industrial systems with actuator nonlinearities PDF
259 Pages·2002·4.07 MB·English
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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 toget
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