Event-triggered consensus strategy for uncertain topological fractional-order multiagent systems based on Takagi–Sugeno fuzzy models

2020 ◽  
Author(s):  
Taotao Hu ◽  
Zheng He ◽  
Xiaojun Zhang ◽  
Shouming Zhong
Keyword(s):  
Multiagent Systems ◽  
Fractional Order ◽  
Fuzzy Models ◽  
Consensus Strategy ◽  
Takagi Sugeno ◽  
Event Triggered

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.

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