Composite adaptive control with locally weighted statistical learning
نویسندگان
چکیده
منابع مشابه
Composite adaptive control with locally weighted statistical learning
This paper introduces a probably stable learning adaptive control framework with statistical learning. The proposed algorithm employs nonlinear function approximation with automatic growth of the learning network according to the nonlinearities and the working domain of the control system. The unknown function in the dynamical system is approximated by piecewise linear models using a nonparamet...
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Computer Science and Neuroscience, HNB-103, Univ. of Southern California, Los Angeles, CA 90089-2520 *College of Computing, Georgia Institute of Technology, 801 Atlantic Drive, Atlanta, GA 30332-0280 ⊕Kawato Dynamic Brain Project (ERATO/JST), 2-2 Hikaridai, Seika-cho, Soraku-gun, 619-02 Kyoto, Japan ⊕Laboratory for Information Synthesis, Riken Brain Science Research Institute, Wako, Saitama, Japan
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2005
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2004.08.009