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CLC number: TP273

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2020-09-28

Cited: 0

Clicked: 5948

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Xiang Hu

https://orcid.org/0000-0002-1625-3825

Chuandong Li

https://orcid.org/0000-0001-6155-4849

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Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.1 P.120-133

http://doi.org/10.1631/FITEE.2000062


Consensus of multi-agent systems with dynamic join characteristics under impulsive control


Author(s):  Xiang Hu, Zufan Zhang, Chuandong Li

Affiliation(s):  School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; more

Corresponding email(s):   huyangyu0203@163.com, zhangzf@cqupt.edu.cn, cdli@swu.edu.cn

Key Words:  Multi-agent system, Network topology, Impulsive input, Dynamic join characteristics, State consensus


Xiang Hu, Zufan Zhang, Chuandong Li. Consensus of multi-agent systems with dynamic join characteristics under impulsive control[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 120-133.

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Abstract: 
We study how to achieve the state consensus of a whole multi-agent system after adding some new agent groups dynamically in the original multi-agent system. We analyze the feasibility of dynamically adding agent groups under different forms of network topologies that are currently common, and obtain four feasible schemes in theory, including one scheme that is the best in actual industrial production. Then, we carry out dynamic modeling of multi-agent systems for the best scheme. Impulsive control theory and Lyapunov stability theory are used to analyze the conditions so that the whole multi-agent system with dynamic join characteristics can achieve state consensus. Finally, we provide a numerical example to verify the practicality and validity of the theory

脉冲控制下具有动态加入特性的多智能体系统一致性


胡翔1,张祖凡1,李传东2
1重庆邮电大学通信与信息工程学院,中国重庆市,400065
2西南大学电子与信息工程学院,重庆市非线性电路与智能信息处理重点实验室,中国重庆市,400715

摘要:研究在原有多智能体系统中动态加入一些新智能体组后如何实现整个多智能体系统的状态一致性。分析在当前常见的不同网络拓扑形式下动态加入智能体组的可行性,并从理论上获得4种可行方案,其中一种方案在实际工业生产中是最佳的。然后,针对最佳方案进行多智能体系统的动力学建模。采用脉冲控制理论和李雅普诺夫稳定性理论,分析具有动态加入特性的多智能体系统实现状态一致的条件。最后,提供一个数值例子验证本文理论的实用性和有效性。

关键词:多智能体系统;网络拓扑;脉冲输入;动态加入特性;状态一致性

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Cao YF, Sun YG, 2016. Consensus of third-order multiagent systems with time delay in undirected networks. Math Probl Eng, 2016:6803927.

[2]Cheng S, Dong H, Yu L, et al., 2019. Consensus of second-order multi-agent systems with directed networks using relative position measurements only. Int J Contr Autom Syst, 17(1):85-93.

[3]Geng HL, Duan GR, 2007. Stability of linear constant system with linear impulse. Chinese Control Conf, p.76-79.

[4]Han YY, Li CD, 2018. Second-order consensus of discrete-time multi-agent systems in directed networks with nonlinear dynamics via impulsive protocols. Neurocomputing, 286:51-57.

[5]Hao F, Chen X, 2012. Event-triggered average consensus control for discrete-time multi-agent systems. IET Contr Theory Appl, 6(16):2493-2498.

[6]Hu W, Zhu QX, 2018. Moment exponential stability of stochastic nonlinear delay systems with impulse effects at random times. Int J Rob Nonl Contr, 29(12):3809-3820.

[7]Huang C, Zhang X, Lam H, et al., 2020. Synchronization analysis for nonlinear complex networks with reaction-diffusion terms using fuzzy-model-based approach. IEEE Trans Fuzzy Syst, in press.

[8]Huang J, Cao M, Zhou N, et al., 2017. Distributed behavioral control for second-order nonlinear multi-agent systems. IFAC-PapersOnLine, 50(1):2445-2450.

[9]Huang TW, Li CD, Duan SK, et al., 2012. Robust exponential stability of uncertain delayed neural networks with stochastic perturbation and impulse effects. IEEE Trans Neur Netw Learn Syst, 23(6):866-875.

[10]Jiang FC, Wang L, Xie GM, 2010. Consensus of high-order dynamic multi-agent systems with switching topology and time-varying delays. J Contr Theory Appl, 8(1):52-60.

[11]Lee K, Bhattacharya R, 2016. Convergence analysis of asynchronous consensus in discrete-time multi-agent systems with fixed topology. https://arxiv.org/abs/1606.04156.

[12]Li CJ, Liu GP, 2018a. Consensus for heterogeneous networked multi-agent systems with switching topology and time-varying delays. J Franklin Inst, 355(10):4198-4217.

[13]Li CJ, Liu GP, 2018b. Data-driven leader-follower output synchronization for networked non-linear multi-agent systems with switching topology and time-varying delays. J Syst Sci Compl, 31(1):87-102.

[14]Li XD, Zhang XL, Song SJ, 2017. Effect of delayed impulses on input-to-state stability of nonlinear systems. Automatica, 76:378-382.

[15]Li YL, Li HT, Ding XY, et al., 2019. Leader-follower consensus of multiagent systems with time delays over finite fields. IEEE Trans Cybern, 49(8):3203-3208.

[16]Li YM, Sun YY, Hua J, et al., 2015. Indirect adaptive type-2 fuzzy impulsive control of nonlinear systems. IEEE Trans Fuzzy Syst, 23(4):1084-1099.

[17]Liu XL, Xiao JW, Chen DX, et al., 2019. Dynamic consensus of nonlinear time-delay multi-agent systems with input saturation: an impulsive control algorithm. Nonl Dynam, 97(2):1699-1710.

[18]Lu ZH, Zhang L, Wang L, 2019. Controllability analysis of multi-agent systems with switching topology over finite fields. Sci China Inform Sci, 62(1):12201.

[19]Luo J, Cao CY, 2015. Flocking for multi-agent systems with unknown nonlinear time-varying uncertainties under a fixed undirected graph. Int J Contr, 88(5):1051-1062.

[20]Schoukens J, Godfrey K, Schoukens M, 2018. Nonparametric data-driven modeling of linear systems: estimating the frequency response and impulse response function. IEEE Contr Syst Mag, 38(4):49-88.

[21]Sesekin AN, Nepp AN, 2015. Impulse position control algorithms for nonlinear systems. 41st Int Conf on Applications of Mathematics in Engineering and Economics, p.040002-1-040002-5.

[22]Shahrrava B, 2018. Closed-form impulse responses of linear time-invariant systems: a unifying approach [lecture notes]. IEEE Signal Process Mag, 35(4):126-132.

[23]Shang YL, 2012. Finite-time consensus for multi-agent systems with fixed topologies. Int J Syst Sci, 43(3):499-506.

[24]Shi M, Yu YJ, Xu Q, 2019. Delay-dependent consensus condition for a class of fractional-order linear multi-agent systems with input time-delay. Int J Syst Sci, 50(4):669-678.

[25]Wang AJ, Liao XF, He HB, 2019. Event-triggered differentially private average consensus for multi-agent network. IEEE/CAA J Autom Sin, 6(1):75-83.

[26]Wang H, Yu WW, Wen GH, et al., 2018. Finite-time bipartite consensus for multi-agent systems on directed signed networks. IEEE Trans Circ Syst I, 65(12):4336-4348.

[27]Wang H, Yu WW, Ren W, et al., 2019. Distributed adaptive finite-time consensus for second-order multiagent systems with mismatched disturbances under directed networks. IEEE Trans Cybern, in press.

[28]Wang JR, Luo ZJ, Shen D, 2018. Iterative learning control for linear delay systems with deterministic and random impulses. J Franklin Inst, 355(5):2473-2497.

[29]Wang S, Xie D, 2012. Consensus of second-order multi-agent systems via sampled control: undirected fixed topology case. IET Contr Theory Appl, 6(7):893-899.

[30]Wang X, Li CD, Huang TW, et al., 2014. Impulsive control and synchronization of nonlinear system with impulse time window. Nonl Dynam, 78(4):2837-2845.

[31]Wang XM, Wang T, Xu CB, et al., 2018. Average consensus for multi-agent system with measurement noise and binary-valued communication. Asian J Contr, 21(3):1043-1056.

[32]Wang YQ, Lu JQ, Lou YJ, 2019. Halanay-type inequality with delayed impulses and its applications. Sci China Inf Sci, 62(9):192206.

[33]Wang ZM, Zhang H, Wang WS, 2016. Robust consensus for linear multi-agent systems with noises. IET Contr Theory Appl, 10(17):2348-2356.

[34]Wen GG, Zhang YL, Peng ZX, et al., 2019. Observer-based output consensus of leader-following fractional-order heterogeneous nonlinear multi-agent systems. Int J Contr, in press.

[35]Wen GH, Zheng WX, 2019. On constructing multiple Lyapunov functions for tracking control of multiple agents with switching topologies. IEEE Trans Autom Contr, 64(9):3796-3803.

[36]Wu T, Hu J, Chen DY, 2019. Non-fragile consensus control for nonlinear multi-agent systems with uniform quantizations and deception attacks via output feedback approach. Nonl Dynam, 96(1):243-255.

[37]Xie DM, Wang SK, 2012. Consensus of second-order discrete-time multi-agent systems with fixed topology. J Math Anal Appl, 387(1):8-16.

[38]Xu Y, Luo DL, Li DY, et al., 2019. Affine formation control for heterogeneous multi-agent systems with directed interaction networks. Neurocomputing, 330(22):104-115.

[39]Ye YY, Su HS, 2019. Leader-following consensus of nonlinear fractional-order multi-agent systems over directed networks. Nonl Dynam, 96(2):1391-1403.

[40]Yuan S, Cheng Z, Lei G, 2018. Uncoupled PID control of coupled multi-agent nonlinear uncertain systems. J Syst Sci Compl, 31(1):4-21.

[41]Zhai SD, Yang XS, 2014. Consensus of second-order multi-agent systems with nonlinear dynamics and switching topology. Nonl Dynam, 77(4):1667-1675.

[42]Zhang WB, Ho DWC, Tang Y, et al., 2019. Quasi-consensus of heterogeneous-switched nonlinear multiagent systems. IEEE Trans Cybern, in press.

[43]Zhang Y, Tian YP, 2014. Allowable delay bound for consensus of linear multi-agent systems with communication delay. Int J Syst Sci, 45(10):2172-2181.

[44]Zheng M, Liu CL, Liu F, 2019. Average-consensus tracking of sensor network via distributed coordination control of heterogeneous multi-agent systems. IEEE Contr Syst Lett, 3(1):132-137.

[45]Zhou B, Liao XF, 2014. Leader-following second-order consensus in multi-agent systems with sampled data via pinning control. Nonl Dynam, 78(1):555-569.

[46]Zhu W, Wang DD, Zhou QH, 2019. Leader-following consensus of multi-agent systems via adaptive event-based control. J Syst Sci Compl, 32(3):846-856.

[47]Zou WC, Xiang ZR, Ahn CK, 2019. Mean square leader-following consensus of second-order nonlinear multiagent systems with noises and unmodeled dynamics. IEEE Trans Syst Man Cybern Syst, 49(12):2478-2486.

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