Fuzzy event-triggered control for nonlinear networked control systems |
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| Institution: | 1. School of Computer and Control Engineering, Yantai University, Yantai, Shandong 264005, China;2. Department of Mathematics, Harbin Institute of Technology, Weihai 264209, China;3. Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 38541, Republic of Korea;4. School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China;5. School of Mathematics and Information Sciences, Weifang University, Weifang, Shandong 261061, China;1. The Institute of Artificial Intelligence, and School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China;2. Artificial Intelligence in Robotics Laboratory (AiR Lab), Department of Electrical and Computer Engineering, Aarhus University, Aarhus C 8000, Denmark;1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;2. School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;1. School of Control Science and Engineering, Shandong University, Jinan 250061, China;2. School of Mathematical Sciences, University of Jinan, Jinan 250022, China;1. College of Sciences, Northeastern University, Shenyang, Liaoning province, 110819, PR China;2. The State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning province, 110819, PR China;1. School of Electrical Engineering, University of Jinan, Jinan 250022;2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016;3. Shool of Control Science and Engineering, Shandong University, Jinan 250061 |
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| Abstract: | This paper is focus on an event-triggered control design problem for nonlinear networked control systems with missing data and transmission delay in the interval type-2 (IT2) fuzzy form. An event-triggered controller is presented under a sampled-state-error mechanism. By dividing the event-triggered interval into some subsets, stability analysis is carried out based on Lyapunov-Krasovskii functional (LKF), and the stability of the closed-loop system is ensured. The proposed design is applied to the continuous stirred tank reactor system (CSTR) and the manipulator system. The control strategy is effective, and the merit of the event-triggered mechanism is indicated. |
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