Open AccessEvent‐triggered MPC for linear systems with bounded disturbances: An accumulated error based approach
Author(s) -
He Ning,
Du Jiawei,
Xu Zhongxian,
Chen Jiaxuan
Publication year - 2022
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12273
Subject(s) - control theory (sociology) , bounded function , trajectory , model predictive control , computer science , linear system , dual (grammatical number) , stability (learning theory) , lti system theory , state (computer science) , mathematics , control (management) , algorithm , artificial intelligence , art , mathematical analysis , physics , literature , astronomy , machine learning
A novel accumulated error based event‐triggered model predictive control (MPC) algorithm is put forward on the basis of the dual‐mode control strategy and state‐feedback control for constrained continuous‐time linear time‐invariant (LTI) systems with constraints and bounded disturbances. First, a new event‐triggered mechanism (ETM) is constructed based on the accumulated error (AE) between the optimal state trajectory and the real state trajectory. Next, in order to stabilize the system, the dual‐mode event‐triggered MPC strategy is established. Then, sufficient conditions are established to guarantee the algorithm feasibility, system stability, and to avoid the Zeno behavior. Finally, the numerical simulation shows the validity of the algorithm.