控制理论(社会学)
马尔可夫过程
理论(学习稳定性)
跳跃的
离散时间和连续时间
计算机科学
平方(代数)
控制器(灌溉)
李雅普诺夫函数
功能(生物学)
数学
控制(管理)
非线性系统
人工智能
统计
物理
几何学
农学
生物
生理学
量子力学
机器学习
进化生物学
作者
Ning Zhang,Min Xia,Wenhai Qi
标识
DOI:10.1109/cfasta57821.2023.10243339
摘要
The stabilization problem is studied for discrete-time Markovian jumping linear parameter varying (LPV) systems with cyber attacks. Considering that there exist some difficulties in obtaining all transition probability for practical systems, the discrete-time Markovian model with partially unknown transition probabilities is introduced. Sufficient criterion for mean-square stability is obtained by means of Lyapunov function theory. Then, under the framework of random DoS attacks, the corresponding feedback controller is constructed to realize the mean-square stability of the underlying system. Finally, the feasibility of the proposed method is verified by simulating the turbofan engine model.
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