异步通信
观察员(物理)
计算机科学
网络拓扑
同步(交流)
控制理论(社会学)
国家观察员
李雅普诺夫函数
拓扑(电路)
马尔可夫链
控制器(灌溉)
数学
控制(管理)
人工智能
非线性系统
计算机网络
物理
量子力学
组合数学
机器学习
农学
生物
作者
Zhenyu Wu,Jiawei Chen,Xuexi Zhang,Zehui Xiao,Jie Tao,Xiaofeng Wang
标识
DOI:10.1016/j.amc.2022.127413
摘要
In this paper, the issue of observer-based synchronization for discrete complex networks with Markov switching topologies is investigated. First, the asynchronous phenomenon between the observer and the node is considered. By resorting to a hidden Markov model (HMM), an non-homogenous observer with an asynchronous topological structure and gain is developed to estimate the state of nodes. Second, for saving precious communication resources, the remote controller updates the control signal based on a dynamic event-triggered scheme (DETS). In this scheme, the threshold of DETS is improved into a diagonal threshold matrix, and the desired system performance can be obtained by flexibly arranging each entry of threshold matrix. To unify the works of the synchronization and state observation, an augmented error system (AES) is established. Subsequently, sufficient conditions for H∞ synchronization of complex networks with asynchronous constraints are proposed by choosing a suitable Lyapunov function. Finally, two simulation examples are implemented to demonstrate the effectiveness of the above results.
科研通智能强力驱动
Strongly Powered by AbleSci AI