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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Full Text (via SIAM) |
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| Main Author: | |
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Philadelphia :
Society for Industrial and Applied Mathematics,
©2002.
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| Series: | Frontiers in applied mathematics ;
24. |
| Subjects: |
Internet
Full Text (via SIAM)Online
| Call Number: |
TJ217 .L47 2002
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| TJ217 .L47 2002 | Available |