Deterministic Learning Theory for Identification, Recognition, and Control

Wang, Cong (School of Automation, Hill, David J. (Australian National University Research

Description

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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Writer
Wang, Cong (School of Automation, Hill, David J. (Australian National University Research
Title
Deterministic Learning Theory for Identification, Recognition, and Control
Publisher
Taylor & Francis Inc
Year
2009
Language
English
Pages
207
Weight
499 gr
EAN
9780849375538
Dimensions
235 x 159 x 19 mm
Binding format
Gebonden

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