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- W2478778944 abstract "Because of its ability to handle multivariable systems, model predictive control (MPC) is well-suited to large and complicated industrial processes. Such systems are affected by unmodeled disturbances, and many systems have actuators that can take on only a discrete set of values. Both of these characteristics can be addressed directly within nominal MPC theory. In this paper we show, under standard assumptions, that suboptimal MPC with mixed continuous/discrete actuators is inherently robust. For sufficiently small disturbances, both robust feasibility and stability are guaranteed. We illustrate these new results with several examples." @default.
- W2478778944 created "2016-08-23" @default.
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- W2478778944 date "2016-07-01" @default.
- W2478778944 modified "2023-09-27" @default.
- W2478778944 title "Stability and robustness of model predictive control with discrete actuators" @default.
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- W2478778944 doi "https://doi.org/10.1109/acc.2016.7524887" @default.
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