Zonotopic fault detection for discrete-time systems with limited communication capability and sensor nonlinearity |
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| Institution: | 1. School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China;2. School of Aeronautics and Astronautics, Sichuan University, Chengdu 610207, China;3. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;1. School of Mathematical Sciences, University of Jinan, Jinan 250022, China;2. School of Mathematical Sciences, Qufu Normal University, Qufu 273165, China;1. Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China;2. Electronics Engineering Department, Universidad de Sevilla, Sevilla 41092, Spain;1. School of Automation, Qingdao University, Qingdao 266071, China;2. Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao 266071, China;3. School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China;1. Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk 37673, Korea;2. Department of Electrical Engineering and Convergence IT Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk 37673, Korea;1. Polytechnic Department of Engineering and Architecture, University of Udine, Via delle Scienze 206, Udine 33100, Italy;2. Systems Research Institute, Polish Academy of Sciences, Ul. Newelska 6, Warsaw 01-447, Poland |
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| Abstract: | In this paper, the fault detection filter (FDF) design problem based on a dynamic event-triggered mechanism (DETM) is investigated for discrete-time systems with signal quantization and sensor nonlinearity. In order to conserve the limited network resources, a newly event-triggered mechanism with dynamic threshold is adopted to reduce the number of transmitted data through network more effectively. With the consideration of DETM, signal quantization and sensor nonlinearity, a fault detection filter is constructed to achieve the robustly asymptotic stability of established model with expected fault detection objective. In addition, by influence of DETM, external interference and quantization errors, a zonotopic residual evaluation mechanism is constructed to detect the occurring fault of plant. Finally, a practical example is provided to illustrate the effectiveness of proposed design approach. |
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