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Self-Triggered Model Predictive Control for Continue Linear Constrained System: Robustness and Stability

  • Beijing Institute of Technology

科研成果: 期刊稿件会议文章同行评审

摘要

M0638. In the paper, a dual-mode control strategy based on a self-triggered model predictive control (SMPC) and a state-feedback law is present for a continue linear time-invariant (LTI) system with state and input constrains. Compared with nominal model predictive control (NMPC), robustness is guaranteed to reject unknown disturbances for the system. At each triggering instant, the self-triggered mechanism is designed to compute the inter-execution time and reduce the frequency of solving the optimization problem and the communication. Then, the stability of the dual-mode strategy is analyzed to ensure the states practically stable. The theoretical results are verified by numerical simulation and the effects of parameters are discussed in detail.

源语言英语
文章编号8484210
页(从-至)3612-3617
页数6
期刊Chinese Control Conference, CCC
2018-January
DOI
出版状态已出版 - 2018
活动37th Chinese Control Conference, CCC 2018 - Wuhan, 中国
期限: 25 7月 201827 7月 2018

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