Title :
Robust control of nonlinear systems satisfying strict matching conditions with input field uncertainty
Author :
Peng, Pei-Yuan ; Tzes, Anthony
Author_Institution :
Six Metrotech Center, Polytechnic Univ., Brooklyn, NY, USA
Abstract :
The robust stabilization problem of a certain class of nonlinear systems is considered. The underlying assumption is that the model uncertainty satisfies the structural matching conditions. Strict matching conditions are exploited and the effect of the induced input field uncertainty is compensated. The robust stabilization for this class of feedback linearizable systems is attained through an optimal control problem guaranteeing robustness against the uncertainties. The solution is obtained through the solution of an algebraic Riccati equation. Sufficient conditions are provided to establish the robust stability of the system
Keywords :
Riccati equations; compensation; feedback; nonlinear control systems; optimal control; robust control; uncertain systems; algebraic Riccati equation; feedback linearizable systems; input field uncertainty; model uncertainty; nonlinear systems; optimal control; robust control; robust stabilization; strict matching conditions; structural matching conditions; Control systems; Feedback; Impedance matching; Nonlinear control systems; Nonlinear systems; Optimal control; Riccati equations; Robust control; Robustness; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.533861