期刊
AUTOMATICA
卷 81, 期 -, 页码 148-155出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2017.03.028
关键词
Event-triggered control; Networked control; Nonlinear model predictive control
资金
- Swedish Research Council (VR)
- Knut och Alice Wallenberg foundation (KAW)
- H ERC Starting Grant BUCOPHSYS
- Grants-in-Aid for Scientific Research [17J05743] Funding Source: KAKEN
In this paper, we propose a new aperiodic formulation of model predictive control for nonlinear continuous-time systems. Unlike earlier approaches, we provide event-triggered conditions without using the optimal cost as a Lyapunov function candidate. Instead, we evaluate the time interval when the optimal state trajectory enters a local set around the origin. The obtained event-triggered strategy is more suitable for practical applications than the earlier approaches in two directions. First, it does not include parameters (e.g., Lipschitz constant parameters of stage and terminal costs) which may be a potential source of conservativeness for the event-triggered conditions. Second, the event-triggered conditions are necessary to be checked only at certain sampling time instants, instead of continuously. This leads to the alleviation of the sensing cost and becomes more suitable for practical implementations under a digital platform. The proposed event-triggered scheme is also validated through numerical simulations. (C) 2017 Elsevier Ltd. All rights reserved.
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