On the stability of a class of nonlinear hybrid systems |
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| Affiliation: | 1. Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China;2. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China;3. Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, University of Science and Technology Beijing, Beijing 100083, China;4. Shunde Graduate School, University of Science and Technology Beijing, Foshan 528399, China;1. School of Information Sciences and Technology, Donghua University, Shanghai 201620, PR China;2. Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education, Donghua University, Shanghai 201620, PR China;3. Information and Network Center, Southwest Forestry University, Kunming 650224, China;4. Electrical & Computer Engineering, Stevens Institute of Technology, Hoboken 07030, USA |
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| Abstract: | ![]()
In this paper, we propose new conditions for guaranteeing the stability of nonlinear sampled data systems. In order to do this, we extend Lyapunov theory to this class of systems. |
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