Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control |
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Authors: | Shuyou Yu Marcus Reble Hong Chen Frank Allgöwer |
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Affiliation: | 1. Department of Control Science and Engineering, Jilin University, PR China;2. Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany |
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Abstract: | We consider inherent robustness properties of model predictive control (MPC) for continuous-time nonlinear systems with input constraints and terminal constraints. We show that MPC with a nominal prediction model and persistent but bounded disturbances has some degree of inherent robustness when the terminal control law and the terminal penalty matrix are chosen as the linear quadratic control law and the related Lyapunov matrix, respectively. We emphasize that the input constraint sets can be any compact set rather than convex sets, and our results do not depend on the continuity of the optimal cost function or of the control law in the interior of the feasible region. |
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Keywords: | Predictive control Inherent robustness properties Nonlinear systems Terminal constraints Input constraints |
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