State-based event-triggered consensus strategy for Takagi–Sugeno fuzzy fractional-order multiagent systems with switching topologies

2021 ◽  
Author(s):  
Taotao Hu ◽  
Ju H. Park ◽  
Zheng He ◽  
Xiaojun Zhang ◽  
Shouming Zhong
Keyword(s):  
Multiagent Systems ◽  
Fractional Order ◽  
Switching Topologies ◽  
Consensus Strategy ◽  
Takagi Sugeno ◽  
Event Triggered

scholarly journals Consensus of Fractional-Order Multiagent Systems with Double Integrator under Switching Topologies

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Shiyun Shen ◽  
Wenjing Li ◽  
Wei Zhu
Keyword(s):  
Numerical Simulation ◽  
Laplace Transform ◽  
Theoretical Result ◽  
Multiagent Systems ◽  
Fractional Order ◽  
Dwell Time ◽  
Sufficient Condition ◽  
Switching Topologies ◽  
Double Integrator

Due to the complexity of the practical environments, many systems can only be described with the fractional-order dynamics. In this paper, the consensus of fractional-order multiagent systems with double integrator under switching topologies is investigated. By applying Mittag-Leffler function, Laplace transform, and dwell time technique, a sufficient condition on consensus is obtained. Finally, a numerical simulation is presented to illustrate the effectiveness of the theoretical result.

scholarly journals Event-Triggered Average Consensus of Multiagent Systems with Switching Topologies

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Gaosen Dong ◽  
Chunde Yang ◽  
Wei Zhu
Keyword(s):  
Multiagent Systems ◽  
Switching Time ◽  
Sufficient Condition ◽  
Total Period ◽  
Switching Topologies ◽  
Average Consensus ◽  
Inequality Technique ◽  
Theoretical Results ◽  
Event Triggered ◽  
Time Sequences

Event-triggered average consensus of multiagent systems with switching topologies is studied in this paper. A distributed protocol based on event-triggered time sequences and switching time sequences is designed. Based on the inequality technique and stability theory of differential equations, a sufficient condition for achieving average consensus is obtained under the assumption that switching signal is ergodic and the total period over which connected topologies is sufficiently large. A numerical simulation is presented to show the effectiveness of the theoretical results.

scholarly journals Event-TriggeredH∞Filtering for Multiagent Systems with Markovian Switching Topologies

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jiahao Li ◽  
Tingting Zhang ◽  
Jinfeng Gao ◽  
Ping Wu
Keyword(s):  
Multiagent Systems ◽  
Sufficient Conditions ◽  
Markovian Switching ◽  
Linear Matrix ◽  
Switching Topologies ◽  
Communication Links ◽  
Inequality Technique ◽  
Error System ◽  
Linear Matrix Inequality Technique ◽  
Event Triggered

This paper is concerned with the problem of event-triggeredH∞filtering for multiagent systems with Markovian switching topologies and network-induced delay. An event-triggered mechanism is given to ease the information transmission. Consider that the network topology is directed in this paper, which represents the communication links among agents. Due to the existence of network-induced delay, the time-delay approach is adopted, which can effectively deal with filtering error system. By constructing a Lyapunov-Krasovskii functional and employing linear matrix inequality technique, sufficient conditions are established to ensure the filtering error system to achieve asymptotically stable withH∞performance index. A simulation example is given to illustrate the effectiveness of the proposed method.

scholarly journals Consensus Problems in Multiagent Systems with Event-Triggered Dynamic Quantizers

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Changgeng Luo ◽  
Xinsheng Wang ◽  
Yu Ren
Keyword(s):  
Numerical Simulation ◽  
Multiagent Systems ◽  
State Feedback ◽  
Data Rate ◽  
Control Input ◽  
Consensus Strategy ◽  
And Control ◽  
Dynamic Quantizer ◽  
A Current ◽  
Event Triggered

Considering the constrained communication data rate and compute capability that commonly exists in multiagent systems, this paper modifies a current consensus strategy by introducing a kind of dynamic quantizer in both state feedback and control input and updates dynamic quantizers by employing event-triggered strategies, thus forming a new quantitative consensus strategy. The numerical simulation example is built for state quantization and the results show the consistency with expectation.

Sign in / Sign up

Export Citation Format

Share Document