Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/3777
Title: A tool to analyze robust stability for constrained nonlinear MPC
Authors: Santos, Lino O. 
Biegler, Lorenz T. 
Castro, José A. A. M. 
Keywords: Nonlinear model predictive control; Robust stability; Sensitivity analysis
Issue Date: 2008
Citation: Journal of Process Control. 18:3-4 (2008) 383-390
Abstract: A sufficient condition for robust asymptotic stability of nonlinear constrained model predictive control (MPC) is derived with respect to plant/model mismatch. This work is an extension of a previous study on the unconstrained nonlinear MPC problem, and is based on nonlinear programming sensitivity concepts. It addresses the discrete time state feedback problem with all states measured. A strategy to estimate bounds on the plant/model mismatch is proposed that can be used off-line as a tool to assess the extent of model mismatch that can be tolerated to guarantee robust stability.
URI: http://hdl.handle.net/10316/3777
Rights: openAccess
Appears in Collections:FCTUC Eng.Química - Artigos em Revistas Internacionais

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