Deterministic Learning Theory for Identification, Recognition, and Control

Name: Deterministic Learning Theory for Identification, Recognition, and Control
Author: China) Guangzhou South China University of Technology Cong (School of Automation Wang

China) Guangzhou South China University of Technology Cong (School of Automation Wang, Australia) Act David J. (Australian National University Research Hill

Taylor & Francis Inc

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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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