Neuro-fuzzy control of industrial systems with actuator nonlinearities / F.L. Lewis, J. Campos, R. Selmic.

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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Online Access: Full Text (via SIAM)
Main Author: Lewis, Frank L.
Other Authors: Campos, J., Selmic, R.
Format: eBook
Language:English
Published: Philadelphia : Society for Industrial and Applied Mathematics, ©2002.
Series:Frontiers in applied mathematics ; 24.
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Call Number: TJ217 .L47 2002
TJ217 .L47 2002 Available