Event-based control and filtering of networked systems: A survey

2017 ◽  
Vol 14 (3) ◽  
pp. 239-253 ◽  
Author(s):  
Lei Zou ◽  
Zi-Dong Wang ◽  
Dong-Hua Zhou
Keyword(s):  
Networked Systems ◽  
Event Based

Event-Based Security Control for Stochastic Networked Systems Subject to Attacks

2020 ◽  
Vol 50 (11) ◽  
pp. 4643-4654 ◽  
Author(s):  
Huaicheng Yan ◽  
Jiangning Wang ◽  
Hao Zhang ◽  
Hao Shen ◽  
Xisheng Zhan
Keyword(s):  
Networked Systems ◽  
Security Control ◽  
Event Based

Distributed estimation in networked systems under periodic and event-based communication policies

2013 ◽  
Vol 46 (1) ◽  
pp. 139-151 ◽  
Author(s):  
Pablo Millán ◽  
Luis Orihuela ◽  
Isabel Jurado ◽  
Carlos Vivas ◽  
Francisco R. Rubio
Keyword(s):  
Distributed Estimation ◽  
Networked Systems ◽  
Communication Policies ◽  
Event Based

Event-based fuzzy control for T-S fuzzy networked systems with various data missing

2020 ◽  
Vol 417 ◽  
pp. 322-332 ◽  
Author(s):  
Ziran Chen ◽  
Baoyong Zhang ◽  
Vladimir Stojanovic ◽  
Yijun Zhang ◽  
Zhengqiang Zhang
Keyword(s):  
Fuzzy Control ◽  
Networked Systems ◽  
Data Missing ◽  
Event Based

scholarly journals Decentralized Event-Based Communication Strategy on Leader-Follower Consensus Control

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Duosi Xie ◽  
Xiaochun Yin ◽  
Jianquan Xie
Keyword(s):  
Control Strategy ◽  
Discrete Event ◽  
Networked Systems ◽  
Communication Strategy ◽  
Consensus Problem ◽  
Consensus Control ◽  
Networked System ◽  
Event Based

This paper addresses the leader-follower consensus problem of networked systems by using a decentralized event-based control strategy. The event-based control strategy makes the controllers of agents update at aperiodic event instants. Two decentralized event functions are designed to generate these event instants. In particular, the second event function only uses its own information and the neighbors’ states at their latest event instants. By using this event function, no continuous communication among followers is required. As the followers only communicate at these discrete event instants, this strategy is able to save communication and to reduce channel occupation. It is analytically shown that the leader-follower networked system is able to reach consensus by utilizing the proposed control strategy. Simulation examples are shown to illustrate effectiveness of the proposed control strategy.

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