Open AccessDiscrete‐time triggered reset law design based on model predictive strategy for linear systems
Author(s) -
Zhao Guanglei,
Wang Jingcheng
Publication year - 2016
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/iet-cta.2015.0587
Subject(s) - reset (finance) , control theory (sociology) , discrete time and continuous time , observer (physics) , linear matrix inequality , computer science , controller (irrigation) , model predictive control , control engineering , control (management) , mathematics , mathematical optimization , engineering , artificial intelligence , statistics , physics , quantum mechanics , financial economics , agronomy , economics , biology
This study investigates discrete‐time triggered reset law design for linear systems in order to adapt reset control to computer‐based implementation. The reset actions are triggered at discrete sampling times if predefined reset conditions are satisfied, and reset law is used to determine reset values of the controller states. A discrete‐time switched system model of the reset control systems is established, then, a model predictive strategy is proposed to design the reset law by solving a linear matrix inequality optimisation problem. Moreover, the proposed method is extended to observer‐based reset law design. The obtained results are applied to numerical example and typical continuous stirred tank reactor system, simulations show that the proposed design is effective.