指数稳定性
混合动力系统
控制理论(社会学)
理论(学习稳定性)
比例(比率)
计算机科学
控制(管理)
人工智能
物理
量子力学
非线性系统
机器学习
作者
Tao-Yu Li,Zhenkun Huang
标识
DOI:10.1109/icecet55527.2022.9873091
摘要
A switching and impulsive control strategy is employed to stabilize hybrid systems on time scale. Due to timescale type stability criteria, we obtain exponential and asymptotic stability of hybrid systems. The new results show that traditional stability criteria for hybrid systems will not always be applied for different time scales. Hence, our results are new and provide new stability theory for hybrid systems on time scale. Finally, the examples are calculated to verify the our time-scale type results.
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