Title :
Uncertainty Principles and Identification n-Widths for LTI and Slowly Varying Systems
Author :
Lin, Lin ; Wang, Le Yi ; Zames, George
Author_Institution :
Department of Electrical Engineering, McGill University, 3480 University Street, Montreal. Que., Canada H3A 2A7
Abstract :
In the identification of LTI systems, the optimal worst-case uncertainty depends on the observation time. This dependence is characterized via two notions of n-width, which are computed in the l1 and H¿ norms. The results are then applied to systems in which the law governing the evolution of the uncertain elements is not time invariant. Such systems can not be identified accurately. The inherent uncertainty is bounded in the case of slow time variation.
Keywords :
Adaptive control; Control systems; Kernel; Linear algebra; Linear systems; Time varying systems; Uncertainty;
Conference_Titel :
American Control Conference, 1992
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0210-9