Data dropout compensation for networked control systems under a new parallel-triggering approach |
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| Institution: | 1. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran;2. Department of Electrical Engineering, University of Bilim, Antalya, Turkey;3. Department of Mechanical Engineering, University of Bilim, Antalya, Turkey;1. School of Mathematics, Liaoning University, Shenyang 110036, China;2. Faculty of Engineering, Dogus University of Istanbul, Istanbul, Turkey;3. St Cyril & St Methodius University, School FEEIT, Skopje, Macedonia;4. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, 110189, China;1. School of Astronautics, Beihang University, Beijing 100191,China;2. Shenyuan Honors College, Beihang University, Beijing 100191, China;3. School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191,China;1. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, P. R. China;2. Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, 519087, P. R. China; Guangdong Key Lab of AI and Multi-Modal Data Processing, BNU-HKBU United International College, Zhuhai, 519087, P. R. China;3. Key Laboratory of Advanced Technology for Aerospace Vehicles, Liaoning Province and School of Aeronautics and Astronautics, Dalian University of Technology, Dalian, 116024, P. R. China |
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| Abstract: | The logical AND/OR combination of two trigger conditions leads to a class of event triggering approach called parallel-triggering that is not sufficiently considered in conception and application. This paper first proposes the relative-absolute parallel-triggering for both the continuous-time and the discrete-time paradigms. In the continuous-time paradigm, a weighted switching parallel-triggering (SPT) is studied that outperforms the existing discrete-time periodic parallel-triggering (PPT) approach. The next point of this paper is the issue of considering the data dropout effect. In this regard, the maximum number of sequential data dropouts is estimated for both parallel-triggering paradigms. The weighted matrix of the trigger condition, as a degree of freedom, can be beneficial for the feasibility of linear matrix inequality (LMI) in the stability analysis. A square root transformation is applied to change the coordinate and analyze the weighted trigger condition. Finally, by using some numerical simulation, our results are evaluated. |
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