DocumentCode
2249808
Title
Nonlinear stability-constrained model predictive control with input and state constraints
Author
Cheng, Xu ; Krogh, Bruce H.
Author_Institution
Process Control Div., Westinghouse Electr. Corp., Pittsburgh, PA, USA
Volume
3
fYear
1998
fDate
21-26 Jun 1998
Firstpage
1674
Abstract
In stability-constrained model predictive control (SCMPC) a stability constraint is propagated from stage to stage to limit magnitude of the state vector in a controllable form. For the unconstrained case, a sufficient condition that can be easily evaluated guarantees the stability constraint is a feasible contraction mapping. This paper presents sufficient conditions for guaranteed asymptotic stability when SCMPC is applied to nonlinear systems with arbitrary constraints on the control and state
Keywords
asymptotic stability; control system analysis; discrete time systems; nonlinear systems; predictive control; asymptotic stability; discrete time systems; nonlinear systems; predictive control; stability-constrained model; state constraints; sufficient condition; Asymptotic stability; Control systems; Ear; Nonlinear control systems; Nonlinear systems; Predictive control; Predictive models; Process control; Strain control; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.707291
Filename
707291
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