Title :
Robust linear optimal controller for systems with structured and bounded parameter uncertainties
Author :
Phung, Anthony V. ; Sawan, Edwin M.
Author_Institution :
Boeing Airplane Co., Seattle, WA, USA
Abstract :
A method for designing robust optimal controllers that can quadratically stabilize uncertain systems is presented. The method incorporates a systematic technique for selecting the weighting matrices Q and R of the cost function such that the optimal control law for the nominal system can stabilize the uncertain system. The method is based on the Lyapunov stability criterion and expressions similar to Liou-Yang upper bounds. The robust linear optimal control law is simply obtained by solving the standard form of the Riccati equation
Keywords :
Lyapunov methods; optimal control; stability criteria; Liou-Yang upper bounds; Lyapunov stability criterion; Riccati equation; bounded parameter uncertainties; cost function; optimal control law; robust optimal controllers; structured parameter uncertainties; uncertain systems; weighting matrices; Control systems; Cost function; Lyapunov method; Nonlinear control systems; Optimal control; Riccati equations; Robust control; Uncertain systems; Uncertainty; Upper bound;
Conference_Titel :
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0510-8
DOI :
10.1109/MWSCAS.1992.271127
