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On optimality of nonlinear model predictive control. (English) Zbl 1120.93318

Summary: In this note the optimality property of nonlinear model predictive control (MPC) is analyzed. It is well known that the MPC approximates arbitrarily well the infinite horizon (IH) controller as the optimization horizon increases. Hence, it makes sense to suppose that the performance of the MPC is a not decreasing function of the optimization horizon. This work, by means of a counterexample, shows that the previous conjecture is fallacious, even for simple linear systems.

MSC:

93B51 Design techniques (robust design, computer-aided design, etc.)
93B35 Sensitivity (robustness)
90B30 Production models
93C55 Discrete-time control/observation systems
93C10 Nonlinear systems in control theory
Full Text: DOI

References:

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