Nonfragile stabilization for semi-Markovian switching systems with actuator saturation via improved dynamic event-triggered scheme
Miaohong Luo
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China
Search for more papers by this authorXihui Wu
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China
Search for more papers by this authorCorresponding Author
Xiaowu Mu
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China
Correspondence Xiaowu Mu, School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China.
Email: [email protected]
Search for more papers by this authorZhe Yang
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China
Search for more papers by this authorMiaohong Luo
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China
Search for more papers by this authorXihui Wu
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China
Search for more papers by this authorCorresponding Author
Xiaowu Mu
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China
Correspondence Xiaowu Mu, School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China.
Email: [email protected]
Search for more papers by this authorZhe Yang
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China
Search for more papers by this authorFunding information: Foundation of Henan Educational Committee, 16A110023; National Natural Science Foundation of China, 11971444
Abstract
This article addresses the problem of stabilization and the H∞ performance for semi-Markovian systems with actuator saturation via dynamic event-triggered scheme. Due to actuator degradation and numerical round-off errors, nonfragile control is proposed. Meanwhile, the saturated nonlinearity is considered in the controller design process, which makes the controller design more practical. Furthermore, the improved event-triggered scheme is utilized for reducing transmitting unnecessary sampled data to the network and saving communication cost. By establishing appropriate Lyapunov–Krasovskii functional that depends on model information and using free-weighting matrix techniques, new sufficient conditions for ensuring the stabilization of the controlled systems are obtained. Then the gain matrices of the controller can be also designed. Finally, simulation examples are provided to verify that the results we get are effective.
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