DocumentCode
404360
Title
Stabilizing a nonlinear system with limited information feedback
Author
Liberzon, Daniel
Author_Institution
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Volume
1
fYear
2003
fDate
9-12 Dec. 2003
Firstpage
182
Abstract
This paper is concerned with the problem of stabilizing a nonlinear continuous-time system by using sampled encoded measurements of the state. We demonstrate that global asymptotic stabilization is possible if a suitable relationship holds between the number of values taken by the encoder, the sampling period, and a system parameter, provided that a feedback law achieving input-to-state stability with respect to measurement errors can be found.
Keywords
asymptotic stability; continuous time systems; feedback; measurement errors; nonlinear control systems; continuous time system; encoder; feedback law; global asymptotic stabilization; information feedback; input-to-state stability; measurement errors; nonlinear system; sampled encoded measurements; sampling period; system parameter; Communication system control; Communication system security; Control systems; Encoding; Measurement errors; Nonlinear control systems; Nonlinear systems; Sampling methods; State feedback; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7924-1
Type
conf
DOI
10.1109/CDC.2003.1272557
Filename
1272557
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