LP-based mode-dependent piece-wise event-triggered finite-time L1 control for switched positive systems under MDMDT constraint

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED
Shuo Li , Yiyun Zhang , Yongqi Jia , Zhengrong Xiang , Jinling Wang
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引用次数: 0

Abstract

This paper addresses the design of a finite-time (FT) L1 control utilizing an event-triggered (ET) mechanism for a category of switched positive systems (SPSs) while taking into account the constraint of mode-dependent minimum dwell time (MDMDT). First, a novel ET approach utilizing 1-norm criteria is introduced to formulate the FT control design, and a positivity condition is established. Then, a new class of discretized linear copositive Lyapunov function (DLCLF) is created for the MDMDT constraint, and an ET-FT L1 control scheme in a novel mode-dependent piece-wise format is designed for SPSs subject to the MDMDT constraint. It is noteworthy that through the utilization of matrix decomposition technology on the controller gain matrices Fi,s+ and Fi,s, the proposed conditions for the devised ET-FT L1 control scheme are formulated in the linear programming (LP) form, rather than the traditionally employed linear matrix inequality (LMI) form. This approach offers a simpler structure and reduced computational complexity compared to the latter. Furthermore, to facilitate the development of FT L1 control, a time-triggered (TT) mechanism is also specifically integrated, and an LP-based TT-FT L1 control scheme in a mode-dependent piece-wise format is designed for SPSs under the MDMDT constraint. With the LP conditions, three examples are presented to show the efficacy and veracity of the devised ET-FT L1 control. Furthermore, a comparative analysis is conducted between the formulated ET-FT L1 control and the TT-FT L1 control, highlighting the superiority of the former.
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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