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Hashimoto, Kazumune; Adachi, Shuichi; Dimarogonas, Dimos V.
IEEE transactions on automatic control, 2017-Jan., 2017-1-00, 20170101, 2017, Volume: 62, Issue: 1Journal Article
In this paper, we propose a self-triggered formulation of model predictive control for continuous-time nonlinear input-affine networked control systems. Our control method specifies not only when to execute control tasks but also provides a way to discretize the optimal control trajectory into several control samples, so that the reduction of communication load will be obtained. Stability analysis under the sample-and-hold implementation is also given, which guarantees that the state converges to a terminal region where the system can be stabilized by a local state feedback controller. Some simulation examples validate our proposed framework.
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