DocumentCode
2048222
Title
Closed-loop data-driven control of uncertain dynamic systems
Author
Chowdhury, Fahmida N.
Author_Institution
Dept. of Electr. & Comput. Eng., Louisiana Univ., Lafayette, LA, USA
fYear
2001
fDate
2001
Firstpage
1
Lastpage
6
Abstract
A combined system-identification and control technique is proposed. The identified model is of the same order as that of the controller. The method works very well except when the measurements are corrupted by high amounts of noise. Some computer simulation results are presented, comparing the performance of the proposed technique with that of a neural networks-based controller
Keywords
Kalman filters; closed loop systems; identification; nonlinear systems; stability; state-space methods; uncertain systems; Kalman filter; closed-loop data-driven control; control technique; neural networks-based controller; nonlinear time-invariant plant; system-identification technique; uncertain dynamic systems; Adaptive control; Computer simulation; Control system synthesis; Control systems; Ear; Neural networks; Noise measurement; Nonlinear control systems; Nonlinear systems; Open loop systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
Conference_Location
Mexico City
Print_ISBN
0-7803-6733-2
Type
conf
DOI
10.1109/CCA.2001.973312
Filename
973312
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