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Deterministic Learning Theory for Identification, Recognition, and Control
part of the Automation and Control Engineering series
- Binding:
- Hardback
- Pages:
- 207
- Published:
- July 20, 2009
- Dimensions:
- 164x243x20 mm.
- Weight:
- 508 g.
Delivery:
2-4 weeks
Expected delivery: December 19, 2024
Description of Deterministic Learning Theory for Identification, Recognition, and Control
Provides systematic design approaches for the identification, control, and recognition of nonlinear systems in uncertain environments. This book introduces the concepts of deterministic learning theory and then discusses the persistent excitation property of RBF networks.
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