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Global adaptive event-triggered output feedback controller design for high-order nonlinear systems
Institution:1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, P. R. China;2. School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, P. R. China;3. Key Laboratory of Perception and Control of Intelligent Bionic Unmanned Systems, Ministry of Education, University of Science and Technology Beijing, Beijing 100083, P. R. China;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;1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;2. Institute of Artificial Intelligence, Beihang University, Beijing 100191, PR China;3. Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education of China, Chongqing University, Chongqing 400044, PR China;1. Institute of Automation, Qufu Normal University, Qufu, Shandong 273165, PR China;2. College of Engineering, Qufu Normal University, Rizhao, Shandong 276826, PR China;3. Department of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, Taiwan;1. School of Automation, Southeast University, Nanjing, Jiangsu 210096, China;2. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Nanjing, Jiangsu 210096, China
Abstract:This article focuses on the adaptive event-triggered output feedback stabilization problem for a class of high-order systems with uncertain output function. Firstly, an adaptive event-triggered mechanism with a dynamic gain is designed for the nominal system. Then the gain is employed into the observer and event-triggered controller to dominate the nonlinearities. Thirdly, it is proved that all system states converge to zero and the Zeno-behavior is excluded. Finally, a numerical example reveals the effectiveness of the proposed event-triggered control strategy.
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