DocumentCode :
490290
Title :
Fast Identification n-Widths and Quasianalytic Inputs for Continuous LTI 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
fYear :
1993
fDate :
2-4 June 1993
Firstpage :
1224
Lastpage :
1228
Abstract :
The problem of fast identification is investigated for continuous-time systems in both the H¿ and L1 norms. It is shown that although in the noise free case it is possible to identify a stable (possibly infinite dimensional) LTI system accurately on any interval using quasianalytic inputs, the identification speed is limited when the measurements are corrupted by noise.
Keywords :
Adaptive control; Adaptive systems; Complexity theory; Noise measurement; Robust control; Sampling methods; Time varying systems; Uncertainty; Velocity measurement; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1993
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-0860-3
Type :
conf
Filename :
4793063
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=490290
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