Leader-Follower Flocking for Discrete-Time Cucker-Smale Models With Lossy Links and General Weight Functions
成果类型:
Article
署名作者:
Shao, Jinliang; Zheng, Wei Xing; Shi, Lei; Cheng, Yuhua
署名单位:
University of Electronic Science & Technology of China; Shenzhen Institute of Artificial Intelligence & Robotics for Society; Western Sydney University
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2020.3046695
发表日期:
2021
页码:
4945-4951
关键词:
actuators
Biological system modeling
Stochastic processes
PROCESS CONTROL
Propagation losses
Packet loss
Mathematical model
General weight functions
leader-follower Cucker-Smale flocking
lossy links
multiagent systems
摘要:
In this article, we investigate leader-follower flocking for the Cucker-Smale model with lossy links and general weight functions. Here, the loss phenomenon of the control packages from the controller to the actuator is characterized by a Bernoulli stochastic variable and the edge weights of the interaction network are determined by a general update rule based on the distance between agents. A method based on the products of substochastic matrices is developed to analyze the flocking behavior with lossy links. By means of this method, a sufficient condition which depends on the agents' initial states, the topology structure, the successful information transmission rate and the weight function is established. Compared with the previous Cucker-Smale flocking results, which are only applicable to positive and decreasing weight functions with specific forms, our result is more general and can be applied to arbitrary positive and decreasing weight functions with nonzero lower bounds. Finally, our result is illustrated through a simulation example.
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