DocumentCode :
3135603
Title :
Optimal output disturbances rejection control for nonlinear systems based on stability degree constraint
Author :
Rui, Wei ; De-xin, Gao ; Bao-tong, Cui
Author_Institution :
Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Volume :
2
fYear :
2011
fDate :
25-28 July 2011
Firstpage :
668
Lastpage :
673
Abstract :
This paper considers the problem of optimal output disturbances rejection control for nonlinear systems based on stability degree constraint. The corresponding optimal output feedback control laws are derived from a Riccati equation and Sylvester matrix equations in finite-time and infinite horizon. We give the existence and uniqueness conditions of the optimal output control law. Then an observer which can solve the problem of the actual control state variables difficult to measure by using the signal of input variables u(t) and output variables y(t). With feed forward compensation, the impact of external disturbances is eliminated and achieved optimal output feedback control based on stability degree constraint. Finally, the simulation results show that the method is effective to reject external persistent disturbances, and the robustness is superior to the classical state feedback optimal control, and satisfy the stability degree constraint.
Keywords :
Riccati equations; compensation; feedforward; matrix algebra; nonlinear control systems; optimal control; stability; state feedback; Riccati equation; Sylvester matrix equations; feed forward compensation; finite-time horizon; infinite horizon; input variable signal; nonlinear systems; optimal output disturbances rejection control; optimal output feedback control laws; output variable signal; stability degree constraint; state feedback optimal control; Equations; Observers; external disturbances; nonlinear systems; observer; stability degree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
Type :
conf
DOI :
10.1109/ICICIP.2011.6008334
Filename :
6008334
Link To Document :
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