제어로봇시스템학회:학술대회논문집
- 1995.10a
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- Pages.271-274
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- 1995
A CLASS OF ASYMPTOTICALLY STABILIZING STATE FEEDBACK FOR UNCERTAIN NONLINEAR SYSTEMS
- Hashimoto, Yuuki (Faculty of Integrated Arts and Science, Hiroshima Univ.) ;
- Wu, Hansheng (Faculty of Integrated Arts and Science, Hiroshima Univ.) ;
- Mizukami, Koichi (Faculty of Integrated Arts and Science, Hiroshima Univ.)
- Published : 1995.10.01
Abstract
This paper is concerned with the problem of robust stabilization of uncertain single-input and single-output nonlinear systems. Based on the input/output linearization approach for nonlinear state feedback synthesis in conjunction with Lyapunov methods, a stabilizing state feedback controller is proposed. Compared with the controllers reported in the control literature, instead of uniform ultimate boudedness, the controller proposed in this paper can guarantee uniform asymptotic stability of nonlinear systems in the presence of uncertainties. The required information about uncertain dynamics in the system is only that the uncertainties are bounded in Euclidean norm by known functions of the system state.
Keywords
- Asymptotic Stability;
- Uncertain Nonlinear Systems;
- Feedback Linearization;
- Lyapunov Methods;
- Matching Condition