Deterministic Learning Theory for Identification, Control, and Recognition (Automation and Control Engineering)

by Frank L . Lewis (Series Editor), Cong Wang (Author), David J . Hill (Author)

• New

  Hardcover
  2009

  $227.14

  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.