DocumentCode
795178
Title
Averaging analysis for discrete time and sampled data adaptive systems
Author
Bai, Er-Wei ; Fu, Li-Chen ; Sastry, S. Shankar
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume
35
Issue
2
fYear
1988
fDate
2/1/1988 12:00:00 AM
Firstpage
137
Lastpage
148
Abstract
Earlier continuous-time averaging theorems are extended to the nonlinear discrete-time case. These theorems are applied to the study of the convergence analysis of discrete-time adaptive identification and control systems. Instability theorems are also derived for the study of robust stability and instability of adaptive control schemes applied to sampled data systems. As a byproduct, the effects of sampling are also studied on unmodeled dynamics in continuous-time systems
Keywords
adaptive systems; control system analysis; convergence; discrete time systems; sampled data systems; stability; adaptive identification; adaptive systems; continuous-time systems; control systems; convergence analysis; discrete time; instability; robust stability; sampled data; unmodeled dynamics; Adaptive control; Adaptive systems; Continuous time systems; Control systems; Convergence; Discrete time systems; Least squares methods; Programmable control; Robust stability; Sampling methods;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.1715
Filename
1715
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