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About Neuro-fuzzy control of industrial systems with actuator nonlinearities
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
Detailed Information
| Author: | F. L. Lewis |
|---|---|
| Publication Year: | 2002 |
| Pages: | 259 |
| Language: | English |
| File Size: | 4.07 |
| Format: | |
| Price: | FREE |
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