Event-triggered interval-based state estimator for continuous-time linear systems |
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| Institution: | 1. Univ. Grenoble Alpes, CNRS, Grenoble INP*, GIPSA-lab, Grenoble 38000, France;2. Institut National des Sciences Appliquées de Lyon, Ampère lab, Lyon F-59000, France;3. University of Orlans, INSA Centre Val de Loire (CVL), PRISME, EA, 4229, Orléans, France;1. School of Astronautics, Harbin Institute of Technology, Harbin 150001, China;2. The Department of Automation, Tsinghua University, Beijing 100084, China;3. Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin 150001, China;1. School of Science, Chongqing University of Technology, Chongqing 400054, PR China;2. School of Mathematics Science, University of Electronic Science and Technology of China, Chengdu 611731, PR China;3. School of Science, Hunan Institute of Technology, Hengyang 421002, PR China;1. Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin 150001, China;2. School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215000, China;1. Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran;2. Dipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy;1. School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou,510521, China;2. School of Automation, Guangdong University of Technology, Guangzhou, 510006, China;3. Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing, Guangzhou, 510006, China;4. School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China |
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| Abstract: | In this paper we propose an interval-based state estimator for continuous-time linear systems with discrete-time measurements using an event-triggered mechanism and an explicit reachability method. An output injection method combined with a state variables permutation procedure are applied to design the robust estimator. In addition, the convergence of the proposed set-membership state estimator and the existence of a lower bound on the inter-event times are shown. Throughout a numerical example, the performance of this estimator are illustrated and compared to related works. |
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