Dissipativity-Based Consensus Tracking of Singular Multiagent Systems With Switching Topologies and Communication Delays

2020 ◽  
pp. 1-12
Author(s):  
Xiangli Jiang ◽  
Guihua Xia ◽  
Zhiguang Feng ◽  
Zhengyi Jiang ◽  
Zheng-Guang Wu
2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Hong-yong Yang ◽  
Hai-lin Zou ◽  
Hui-xia Liu ◽  
Fei Liu ◽  
Mei Zhao ◽  
...  

The tracking control of multiagent dynamical systems with exogenous disturbances is studied. A path following algorithm with a time-varying reference state is proposed, and the path tracking of multiagent systems with exogenous disturbance is analyzed. Under the influence of the disturbances, a disturbance observer is developed to estimate the exogenous disturbances. Asymptotical consensus of the multiagent systems with time-varying reference state and exogenous disturbances under the disturbance observers-based control (DOBC) can be achieved for fixed and switching topologies. Finally, by applying an example of multiagent systems with switching topologies and exogenous disturbances, the consensus tracking of multiagent systems with time-varying reference state is reached under the DOBC with the designed parameters.


2017 ◽  
Vol 28 (6) ◽  
pp. 2144-2160 ◽  
Author(s):  
Xiaolin Ai ◽  
Jianqiao Yu ◽  
Zhenyue Jia ◽  
Di Yang ◽  
Xuan Xu ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Chun-xi Yang ◽  
Wei-xing Hong ◽  
Ling-yun Huang ◽  
Hua Wang

The consensus tracking problem for discrete-time multiagent systems with input and communication delays is studied. A sufficient condition is obtained over a directed graph based on the frequency-domain analysis. Furthermore, a fast decentralized consensus tracking conditions based on incrementPIDalgorithm are discussed for improving convergence speed of the multiagent systems. Based on this result, genetic algorithm is introduced to construct incrementPIDbased on genetic algorithm for obtaining optimization consensus tracking performance. Finally, a numerable example is given to compare convergence speed of three tracking algorithms in the same condition. Simulation results show the effectiveness of the proposed algorithm.


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