Title :
Neural-network based adaptive control of uncertain chaotic systems
Author :
Qin, Huashu ; Zhang, Huaizhou ; Guanrong Chen
Author_Institution :
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
Abstract :
In this paper, a new adaptive control scheme, that employs a Gaussian radial basis function network with output weights updated on-line, is developed for regulating a class of uncertain chaotic systems. Theoretical analysis guarantees that the controlled uncertain chaotic systems can asymptotically track target orbits within arbitrarily small tolerance bounds. The uncertain Duffing-Holmes system is used as an example for illustration
Keywords :
adaptive control; chaos; feedforward neural nets; neurocontrollers; uncertain systems; Gaussian radial basis function network; neural-network based adaptive control; output weights; target orbits; tolerance bounds; uncertain Duffing-Holmes system; uncertain chaotic systems; Adaptive control; Chaos; Control systems; Nonlinear control systems; Nonlinear dynamical systems; Orbits; Programmable control; Radial basis function networks; Target tracking; Uncertainty;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.704014
