Practical Consensus Tracking of Asynchronously Switched Multiagent Systems

被引:1
作者
Xue, Mengqi [1 ]
Tang, Yang [2 ]
Ren, Wei [3 ]
Qian, Feng [2 ]
机构
[1] Tongji Univ, Shanghai Res Inst Intelligent Autonomous Syst, Frontiers Sci Ctr Intelligent Autonomous Syst, Natl Key Lab Autonomous Intelligent Unmanned Syst, Shanghai 201804, Peoples R China
[2] East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
[3] Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA
基金
中国国家自然科学基金;
关键词
Consensus tracking; multiagent systems (MASs); practical stability; switched systems; OUTPUT REGULATION; STABILITY; SYNCHRONIZATION; NETWORKS; VEHICLES; AGENTS;
D O I
10.1109/TAC.2024.3401158
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The practical consensus tracking problem is studied for a class of asynchronously switched multiagent systems (MASs). The asynchronous switchings are present in the followers, the leader, and the topology, bringing dynamic heterogeneity that yields nonvanishing perturbations which inherently prevent a perfect tracking. To handle the heterogeneity, a distributed dynamic controller with adaptive observers is proposed for each follower. The embedded observers estimate both the dynamics and the state of the leader which may not be directly known by the followers while rule out unwanted merges of asynchronous switchings that yield adverse fast switchings. To deal with the nonvanishing perturbations in the presence of destabilizing effects and disconnected topologies, a piecewise- average-dwell-time-based slow/fast-mixed switching stabilization method is proposed to ensure an ultimately bounded consensus tracking performance for the MAS. We show that the obtained ultimate bound can be made arbitrarily small by properly adjusting the corresponding tunable parameters under a mild assumption. An example of vehicle platoon control is provided to illustrate the effectiveness of the proposed method.
引用
收藏
页码:7758 / 7772
页数:15
相关论文
共 46 条
[1]  
Jadbabaie A., Lin J., Morse A.S., Coordination of groups of mobile autonomous agents using nearest neighbor rules, IEEE Trans. Autom. Control, 48, 6, pp. 988-1001, (2003)
[2]  
Ren W., Beard R.W., Distributed Consensus in Multi-Vehicle Cooperative Control, (2008)
[3]  
Dong X., Zhou Y., Ren Z., Zhong Y., Time-varying formation control for unmanned aerial vehicles with switching interaction topologies, Control Eng. Pract., 46, pp. 26-36, (2016)
[4]  
Li S.E., Et al., Dynamical modeling and distributed control of connected and automated vehicles:Challenges and opportunities, IEEE Intell. Transp. Syst. Mag., 9, 3, pp. 46-58, (2017)
[5]  
Cai H., Hu G., Lewis F.L., Davoudi A., A distributed feedforward approach to cooperative control of AC microgrids, IEEE Trans. Power Syst., 31, 5, pp. 4057-4067, (2016)
[6]  
Liberzon D., Switching in Systems and Control, (2003)
[7]  
Olfati-Saber R., Murray R.M., Consensus problems in networks of agents with switching topology and time-delays, IEEE Trans. Autom. Control, 49, 9, pp. 1520-1533, (2004)
[8]  
Ren W., Beard R.W., Consensus seeking in multiagent systems under dynamically changing interaction topologies, IEEE Trans. Autom. Control, 50, 5, pp. 655-661, (2005)
[9]  
Xue M., Tang Y., Ren W., Qian F., Practical output synchronization for asynchronously switched multi-agent systems with adaption to fastswitching perturbations, Automatica, 116, (2020)
[10]  
Yoo S.J., Distributed consensus tracking of a class of asynchronously switched nonlinear multi-agent systems, Automatica, 87, pp. 421-427, (2018)