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
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;
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
DOI :
10.1109/CCA.2001.973312
