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Distributed set-membership estimation for state-saturated systems with mixed time-delays via a dynamic event-triggered scheme
Institution:1. Key Laboratory of Smart Manufacturing in Energy Chemical Process of the Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;2. College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, 435002, China;3. Shanghai Electromechanical Engineering Institute, Shanghai 201109, China;4. School of Information Science and Engineering, Chengdu University, Chengdu, 610106, China;1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, 066004, China;2. Liren College of Yanshan University, Qinhuangdao Hebei, 066004;3. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, China;1. School of Information Science and Technology, State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, Donghua University, Shanghai 201620, China;2. Department of Computer Science, Brunel University London, Uxbridge, Middlesex UB8 3PH, United Kingdom;3. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;1. Marine Design and Research Institute of China, 1688 Xizangnan Road, Shanghai 200011, China;2. Griffith School of Engineering, Griffith University, Gold Coast Campus, Queensland 4222, Australia;3. School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, Melbourne, Victoria 3122, Australia
Abstract:This paper is focused on the distributed estimation issue in the form of set-membership (SM) for a class of discrete time-varying systems suffering mix-time-delays and state-saturations. The phenomena of time-delays and state-saturations are introduced to better describe insightful engineering. During local measurements transmission between sensors over a resource-limited sensor network, to prevent data collisions and resource-consumption, a newly dynamic event-triggering strategy (DETS) is designed to dispatch the local measurements transmission for each sensor to its neighbors. Compared with the most existing static ETSs, this DETs can mitigate the total number of triggering times and enlarge interval time between consecutive triggering instants. Then, some novel adequate criteria for designing the desired event-based SM estimators are derived such that the plant’s true state always resides in each sensor’s ellipsoidal region regardless of the simultaneous presence of bounded noises, mixed time delays and state-saturations. Subsequently, a recursive optimization algorithm is formulated such that the minimal ellipsoids, the estimators gains and event-triggering weighted matrices are acquired simultaneously. A verification simulation is presented to illustrate the advantages of the design approach of the developed state estimator.
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