Title :
Adaptive backstepping control design for linear multivariable plants
Author :
Ling, Yi ; Tao, Gang
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
A nonlinear backstepping design for adaptive control of linear plants with multiple inputs and multiple outputs is developed. Solutions to plant parametrization, state observer, and adaptive control law for the multivariable backstepping design are given. The proposed adaptive controller has the desired properties for ensuring closed-loop signal boundedness and asymptotical tracking
Keywords :
MIMO systems; adaptive control; control system synthesis; linear systems; nonlinear control systems; observers; adaptive backstepping control design; asymptotic tracking; closed-loop signal boundedness; linear multivariable plants; multiple inputs multiple outputs plants; multivariable backstepping design; nonlinear backstepping design; plant parametrization; state observer; Adaptive control; Backstepping; Control design; Control systems; Ear; Filters; Linear systems; MIMO; Programmable control; Tracking loops;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.573455
