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- Title
An error gradient and accumulation‐type event‐driven model predictive control with relative thresholds for perturbed nonlinear systems.
- Authors
He, Ning; Xu, Zhongxian; Shen, Chao
- Abstract
This work investigates the event‐driven model predictive control problem for perturbed nonlinear systems with input and state constraints. Firstly, a new event‐driven triggering condition, considering the gradient and accumulation of the error between the optimal and actual states at adjacent moments with a state‐dependent relative threshold is designed with a guaranteed positive inter‐event time to avoid Zeno behaviour. Secondly, an error gradient and accumulation type event‐driven model predictive control framework is designed based on the new triggering condition and the dual‐mode strategy, for effectively reducing the calculation and communication burden of the model predictive control controller while ensuring desired control performance. Furthermore, the feasibility and the input‐to‐state practical stability (ISpS) of gradient and accumulation‐type event‐driven model predictive control are rigorously guaranteed theoretically. At last, the simulation results are provided to validate the this algorithm.
- Subjects
NONLINEAR systems; PREDICTION models; SLIDING mode control; NONLINEAR equations; COMMUNICATION models
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2022, Vol 16, Issue 18, p1873
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/cth2.12352