DocumentCode
2012542
Title
Trajectory tracking via adaptive dynamic neural control
Author
Sanchez, Edgar N. ; Pezez, J.P. ; Ricalde, Luis J. ; Chen, Guanrong
Author_Institution
CINVESTAV, Unidad Guadalajara, Jalisco, Mexico
fYear
2001
fDate
2001
Firstpage
286
Lastpage
291
Abstract
Presents an adaptive control structure, based on a dynamic neural network for trajectory tracking of unknown nonlinear plants. The main components of this structure include a neural identifier and a control law, which together guarantee the desired tracking. stability of the tracking error is analyzed by means of the Lyapunov function methods. Applicability of the proposed structure is tested by simulations on two complex examples
Keywords
Lyapunov methods; adaptive control; neurocontrollers; nonlinear control systems; recurrent neural nets; stability; tracking; uncertain systems; Lyapunov function methods; adaptive dynamic neural control; dynamic neural network; neural identifier; stability; tracking error; trajectory tracking; unknown nonlinear plants; Adaptive control; Control systems; Lyapunov method; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Optimal control; Programmable control; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 2001. (ISIC '01). Proceedings of the 2001 IEEE International Symposium on
Conference_Location
Mexico City
ISSN
2158-9860
Print_ISBN
0-7803-6722-7
Type
conf
DOI
10.1109/ISIC.2001.971523
Filename
971523
Link To Document