DocumentCode
3181538
Title
Absolute stability analysis through a connection to saturation nonlinearities
Author
Hu, Tingshu ; Lin, Zongli
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume
5
fYear
2004
fDate
14-17 Dec. 2004
Firstpage
5487
Abstract
A generalized sector was introduced recently for improved stability analysis of systems with nonlinearity and/or uncertainty. While providing more flexibility and admitting more accuracy in the description of the nonlinear/uncertain component, the generalized sector is almost as numerically tractable as the traditional conic sector - necessary and sufficient conditions for absolute quadratic stability were identified in the form of linear matrix inequalities (LMIs) for continuous-time systems with one nonlinear component. The objective of this paper is to develop a general framework for absolute stability analysis of systems with multiple nonlinear components under a generalized sector condition. Through a connection between saturation functions and piecewise linear convex/concave functions, the generalized sector is described in terms of a set of saturation functions. This transforms the problem of absolute stability analysis into one of stability analysis for systems with saturation nonlinearities, for which effective tools have recently been developed. Under the general framework, we develop explicit conditions for absolute quadratic stability of discrete-time systems with one nonlinear component.
Keywords
absolute stability; continuous time systems; control nonlinearities; discrete time systems; linear matrix inequalities; piecewise linear techniques; uncertain systems; absolute quadratic stability; absolute stability analysis; continuous-time systems; discrete-time systems; generalized sector; linear matrix inequalities; multiple nonlinear components; piecewise linear concave functions; piecewise linear convex functions; saturation functions; saturation nonlinearities; Discrete transforms; Ellipsoids; Frequency; Linear matrix inequalities; Linear systems; Nonlinear systems; Piecewise linear techniques; Stability analysis; Sufficient conditions; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-8682-5
Type
conf
DOI
10.1109/CDC.2004.1429681
Filename
1429681
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