Robust model predictive control for nonlinear discrete‐time systems | Zendy

Magni L. | Zendy; De Nicolao G. | Zendy; Scattolini R. | Zendy; Allgöwer F. | Zendy

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Robust model predictive control for nonlinear discrete‐time systems

Author(s) -

Magni L.,

De Nicolao G.,

Scattolini R.,

Allgöwer F.

Publication year - 2003

Publication title -

international journal of robust and nonlinear control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.361

H-Index - 106

eISSN - 1099-1239

pISSN - 1049-8923

DOI - 10.1002/rnc.815

Subject(s) - model predictive control , control theory (sociology) , nonlinear system , bounded function , discrete time and continuous time , horizon , stability (learning theory) , computer science , robust control , class (philosophy) , control (management) , state (computer science) , mathematical optimization , mathematics , algorithm , artificial intelligence , physics , quantum mechanics , mathematical analysis , statistics , geometry , machine learning

This paper describes a model predictive control (MPC) algorithm for the solution of a state‐feedback robust control problem for discrete‐time nonlinear systems. The control law is obtained through the solution of a finite‐horizon dynamic game and guarantees robust stability in the face of a class of bounded disturbances and/or parameter uncertainties. A simulation example is reported to show the applicability of the method. Copyright © 2003 John Wiley & Sons, Ltd.

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