NDLI: Discrete-time triggered reset law design based on model predictive strategy for linear systems

Content Provider	IET Digital Library
Author	Zhao, Guanglei Wang, Jingcheng
Abstract	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.
Starting Page	282
Ending Page	291
Page Count	10
ISSN	17518644
Volume Number	10
e-ISSN	17518652
Issue Number	Issue 3, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/10/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0587
Journal	IET Control Theory & Applications
Publisher Date	2016-02-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer-based Implementation Control System Analysis Control System Synthesis Discrete Control System Discrete Sampling Time Discrete Time System Discrete Time Triggered Reset Law Design Discrete-time Switched System Model Linear Algebra Linear Matrix Inequalities Linear Matrix Inequality Optimisation Problem Linear System Model Predictive Strategy Numerical Analysis Optimal Control Optimisation Optimisation Technique Predictive Control Reset Control System Reset Value Determination Sampling Method Statistics Switching System (control) Synthesis Method Time Varying Control System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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