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• W2897614182 abstract "A self-triggered model predictive control (MPC) scheme for continuous-time perturbed nonlinear systems subject to bounded disturbances is investigated in this study. A self-triggered strategy is designed to obtain the inter-execution time before the next trigger using the current sampled state. An optimisation problem is addressed to obtain the optimal control trajectory at each triggered instant. The so-called dual-mode approach is used to stabilise the perturbed closed-loop system. Furthermore, sufficient conditions are derived to ensure the feasibility and stability, respectively. It is shown that with a properly designed prediction horizon, the feasibility of the proposed self-triggered MPC algorithm can be guaranteed if the disturbance is bounded in a small enough area. Meanwhile, the stability is proved under the self-triggered condition. Finally, a numerical example is given to illustrate the efficacy of the authors proposed scheme." @default.
• W2897614182 created "2018-10-26" @default.
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• W2897614182 date "2019-06-01" @default.
• W2897614182 modified "2023-10-17" @default.
• W2897614182 title "Self‐triggered robust model predictive control for nonlinear systems with bounded disturbances" @default.
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• W2897614182 doi "https://doi.org/10.1049/iet-cta.2018.5459" @default.
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