DocumentCode :
397752
Title :
Robust stability analysis of predictive controller for systems with input nonlinearity
Author :
Ding, Bao Cang ; Li, Shao Yuan ; Xi, Yu Geng
Author_Institution :
Inst. of Autom., Shanghai Jiao Tong Univ., China
Volume :
4
fYear :
2003
fDate :
4-6 June 2003
Firstpage :
3626
Abstract :
For system with Hammerstein nonlinearity and input saturation constraint, the two step model predictive control (TSMPC) technique is adopted. This paper considers the uncertainty in system matrix and input nonlinearity, and obtains some exponential stability conditions for this kind of system. Furthermore, the domain of attraction for this kind of system is discussed and the algorithm for designing the domain of attraction is given. The stability results are validated with a simulation example.
Keywords :
asymptotic stability; control nonlinearities; matrix algebra; predictive control; robust control; Hammerstein nonlinearity; TSMPC technique; attraction domain; input nonlinearity system; input saturation constraint; matrix system; predictive controller; robust stability; two step model predictive control; Automatic control; Automation; Control system analysis; Control systems; Erbium; Nonlinear control systems; Nonlinear equations; Predictive control; Robust stability; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
ISSN :
0743-1619
Print_ISBN :
0-7803-7896-2
Type :
conf
DOI :
10.1109/ACC.2003.1244122
Filename :
1244122
Link To Document :
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