Title :
Robust stabilization for single-input polytopic nonlinear systems
Author_Institution :
Dept. of Electron. Eng., Hwa Hsia Coll. of Technol. & Commerce, Taipei, Taiwan
Abstract :
This work deals with the stabilization problem of single-input polytopic nonlinear systems. The uncertain parameters in the systems can be time-varying. The control Lyapunov function approach is used to derive a sufficient condition for the existence of time-invariant, continuous, asymptotically stabilizing state feedback controllers. Additionally, a universal formula for constructing stabilizing controllers when the obtained sufficient condition is met is presented. For some polytopic linear systems, it is proved that the sufficient condition can be equivalently expressed in terms of linear matrix inequality (LMI) formulation. Moreover, the obtained stabilizing controllers can be linear. Simulation results confirm the effectiveness of the design.
Keywords :
Lyapunov methods; asymptotic stability; control system synthesis; linear matrix inequalities; linear systems; nonlinear control systems; robust control; set theory; state feedback; time-varying systems; uncertain systems; LMI; asymptotic stability control; control Lyapunov function approach; linear matrix inequality; robust stabilization; single input polytopic nonlinear systems; state feedback controllers; sufficient condition; time invariant system; time varying systems; uncertain parameter systems; Control system synthesis; Control systems; Linear systems; Lyapunov method; Nonlinear control systems; Nonlinear systems; Robustness; Stability analysis; State feedback; Sufficient conditions;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1384558