Title :
Robust adaptive control for a class of nonlinear systems using neural networks
Author :
Tan, K.K. ; Huang, S.N. ; Lee, T.H.
Author_Institution :
Dept. of Electr. & Eng., Nat. Univ. of Singapore, Singapore
Abstract :
The adaptive control problem is studied for a class of nonlinear systems in the presence of non-affine uncertainties. By employing radial basis functions (RBFs), a correction control signal is added to a nominal controller to render the actual system bounded.
Keywords :
adaptive control; neurocontrollers; nonlinear control systems; radial basis function networks; robust control; correction control signal; neural networks; nominal controller; nonaffine uncertainties; nonlinear systems; radial basis functions; robust adaptive control; robust control; Adaptive control; Control system synthesis; Control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Robust control; Stability analysis; Uncertainty;
Conference_Titel :
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
Print_ISBN :
0-7803-8647-7
DOI :
10.1109/ICCCAS.2004.1346365
