Nonlinear Systems / World Scientific / Prentice-Hall / Neural Networks / Gaussian / Ge / Authorized / Differential Neural Networks / /
Country
United Kingdom / Singapore / Spain / /
Currency
USD / / /
Facility
National University of Singapore / Institute of Intelligent Systems / University of Electronic Science / /
Holiday
Assumption / /
IndustryTerm
approximation using radial basis function networks / uncertain systems / multilayer networks / on-line approximators / real world applications / uncertain output feedback systems / dynamical systems / output feedback systems / radial basis function networks / control law / nonaffine systems / /
Organization
National University of Singapore / Singapore / Institute for Infocomm Research / Department of Electrical and Computer Engineering / Institute of Intelligent Systems and Information Technology / Comprehensive Foundation / Agency for Science / Research and Technology / Spanish Government / Department of Signal Processing and Communications / University of Electronic Science and Technology of China / Chengdu / /
Person
Taylor / Francis / Sam Ge / Tong Heng Lee / Carlos III / /
Position
neural-net robot controller / representative / /
ProgrammingLanguage
L / R / /
Technology
resulting algorithm / neural network / Information Technology / GPS / Simulation / Digital Object Identifier / Technology of China / /
IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 21, NO. 8, AUGUSTBrief Papers Adaptive Neural Control for Output Feedback Nonlinear