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Synchronization control of neutral-type neural networks with sampled-data via adaptive event-triggered communication scheme
Authors:He Zhang  Qian Ma  Junwei Lu  Yuming Chu  Yongmin Li
Institution:1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;2. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China;3. School of Science, Huzhou Teachers College, Huzhou 313000, China;1. School of Cyber Science and Engineering, Sichuan University, Chengdu 610065, China;2. Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641100, PR China;3. School of Mathematics Sciences, Sichuan Normal University, Chengdu 610066, China;4. Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 38541, Republic of Korea;5. School of Information Science and Engineering, Chengdu University, Chengdu 610106, China;6. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, PR China;1. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education and School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China;2. Huatian Engineering and Technology Corporation, MCC, Ma’anshan 243005, China;3. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;4. School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China;1. Anhui Province Key Laboratory of Special Heavy Load Robot, Anhui University of Technology, Ma’anshan 243032, China;2. Institute of Fundamental and Interdisciplinary Sciences, High-speed Railway Economic Research Institute, Beijing Union University, Beijing 100101, China;3. College of Mathematics & Systems Science, Shandong University of Science and Technology, Qingdao 266590, China;4. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Abstract:This paper addresses the problem of synchronization control of neutral-type neural networks with sampled-data, where sampled data will be over a communication network before received by controller. Generally, the communication network is with a bandwidth-limited communication channel. To reduce network burden, an event-triggered scheme is designed between the sampler and communication network. A weak synchronization conditions are derived by using our proposed integral inequality. Finally, a numerical example is given to illustrate the effectiveness and advantage of the proposed results.
Keywords:
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