Deterministic Learning Theory for Identification, Recognition, and Control - Wang, Cong (School of Automation, South China University of Technology, Guangzhou, China) a Hill, David J. (Australian National University Research, Act, Australia)

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.