Title :
Stable adaptive control of unknown nonlinear dynamic systems using neural networks
Author :
Adetona, O. ; Garcia, E. ; Keel, L.H.
Author_Institution :
Center of Excellence in Inf. Syst., Tennessee State Univ., Nashville, TN, USA
Abstract :
This paper presents a new method of achieving stable adaptive control of non-affine nonlinear plants with artificial neural networks. The restrictions placed on the size of the operating region and the form of the system equations of the unknown plant are mild. The results obtained from the simulation of the adaptive control of an unknown and highly nonlinear plant using the proposed method is provided. A new control law for non-affine nonlinear plants is stated
Keywords :
adaptive control; discrete time systems; neurocontrollers; nonlinear dynamical systems; radial basis function networks; robust control; SISO systems; adaptive control; discrete time systems; neural networks; neurocontrol; nonlinear dynamic systems; radial basis function neural networks; robust control; stability; Adaptive control; Artificial neural networks; Information analysis; Information systems; MIMO; Mechanical engineering; NASA; Neural networks; Nonlinear equations;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.783205
