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Nonlinear stability-constrained model predictive control with input and state constraints

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2 Author(s)
Xu Cheng ; Process Control Div., Westinghouse Electr. Corp., Pittsburgh, PA, USA ; Krogh, B.H.

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

Published in:

American Control Conference, 1998. Proceedings of the 1998  (Volume:3 )

Date of Conference:

21-26 Jun 1998