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Article Dans Une Revue International Journal of Control, Automation and Systems Année : 2016

Saddle point MPC approach to nonlinear robust sampled-data control problem

Résumé

This paper presents a robust nonlinear model predictive control strategy to consider the control of systems described by nonlinear ordinary differential equation in a sampled-data framework. The optimal couple controldisturbances is calculated as a time continuous function at each sampling instant by solving a saddle point problem. Using this controller, it is proved that the system is ultimately bounded and satisfies an exponential stability property at each sampling instants. To validate the efficiency of our approach, the presented methodology is illustrated on a cart, spring and damper example.
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Dates et versions

hal-01272368 , version 1 (10-02-2016)

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Maxime Penet, Hervé Guéguen, Aziz Belmiloudi. Saddle point MPC approach to nonlinear robust sampled-data control problem. International Journal of Control, Automation and Systems, 2016, 14 (1), pp.78-89. ⟨10.1007/s12555-014-0233-y⟩. ⟨hal-01272368⟩
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