Distributed optimisation for multi-agent systems with the first-order integrals under Markovian switching topologies

2017 ◽  
Vol 48 (9) ◽  
pp. 1787-1795 ◽  
Author(s):  
Dong Wang ◽  
Dong Wang ◽  
Wei Wang ◽  
Yurong Liu ◽  
Fuad E. Alsaadi
Keyword(s):  
Markovian Switching ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
First Order ◽  
Switching Topologies ◽  
Multi Agent

Consensus via event-triggered strategy of nonlinear multi-agent systems with Markovian switching topologies

2020 ◽  
Vol 104 ◽  
pp. 122-129
Author(s):  
Jinfeng Gao ◽  
Jiahao Li ◽  
Haipeng Pan ◽  
Zhengguang Wu ◽  
Xiuxing Yin ◽  
...  
Keyword(s):  
Markovian Switching ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Switching Topologies ◽  
Multi Agent ◽  
Event Triggered

Energy-to-peak consensus for multi-agent systems with stochastic disturbances and Markovian switching topologies

2018 ◽  
Vol 40 (16) ◽  
pp. 4358-4368 ◽  
Author(s):  
Zhilian Yan ◽  
Chengyan Sang ◽  
Muyun Fang ◽  
Jianping Zhou
Keyword(s):  
Markovian Switching ◽  
Disturbance Attenuation ◽  
Linear Matrix ◽  
Multi Agent Systems ◽  
Stochastic Disturbances ◽  
Linear Transformations ◽  
Agent Systems ◽  
Control Protocol ◽  
Switching Topologies ◽  
Multi Agent

This paper is concerned with the problem of energy-to-peak consensus for a class of multi-agent systems with both stochastic disturbances and Markovian switching topologies. The objective is to design a control protocol in the form of dynamic output feedback, such that the multi-agent system reaches mean square consensus and has a prescribed energy-to-peak disturbance attenuation level. By using linear transformations, the problem is transformed into a standard energy-to-peak control problem. Then a new bounded real lemma is established. On the basis of this, an approach for the design of the control protocol is developed, by which the desired gain can be obtained via solving a number of linear matrix inequalities. Finally, a numerical example is provided to illustrate the effectiveness of the proposed approach.

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