NDLI: Towards the practical implementation of min-max nonlinear Model Predictive Control

Content Provider	IEEE Xplore Digital Library
Author	Raimondo, D.M. Alamo, T. Limon, D. Camacho, E.F.
Copyright Year	2007
Description	Author affiliation: Univ. di Pavia, Pavia (Raimondo, D.M.)
Abstract	Min-max model predictive control (MPC) is an appealing strategy due to its performance and its capability to ensure robust satisfaction of the constraints. The associated control technique requires the solution of a differential game which is an NP-hard problem. In this paper a relaxed formulation of the min-max MPC for constrained nonlinear systems is presented. In the proposed MPC, the maximization problem is replaced by the simple evaluation of an appropriate sequence of disturbances. This reduces dramatically the computational burden of the optimization problem and produces a solution that does not differ much from the one obtained with the original min-max problem. Moreover, the proposed predictive control inherits the convergence and the domain of attraction of the standard min-max strategy.
Starting Page	1257
Ending Page	1262
File Size	202208
Page Count	6
File Format	PDF
ISBN	9781424414970
ISSN	01912216
DOI	10.1109/CDC.2007.4434980
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Predictive control Cost function Nonlinear systems Robust control Control systems NP-hard problem Stability Nonlinear control systems USA Councils robust control Constrained uncertain nonlinear systems model predictive control
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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