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
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;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.707291
