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Abstract: This paper is concerned with the scaled formation control problem for multi-agent systems (MASs) over fixed and switching topologies. First, a modified resilient dynamic event-triggered (DET) mechanism involving an auxiliary dynamic variable (ADV) based on sampled data is proposed. In the proposed DET mechanism, a random variable obeying the Bernoulli distribution is introduced to express the idle and busy situations of communication networks. Meanwhile, the operation of absolute value is introduced into the triggering condition to effectively reduce the formation error. Second, a scaled formation control protocol with the proposed resilient DET mechanism is designed over fixed and switching topologies. The scaled formation error system is modeled as a time-varying delay system. Then, several sufficient stability criteria are derived by constructing appropriate Lyapunov–Krasovskii functionals (LKFs). A co-design algorithm based on the sparrow search algorithm (SSA) is presented to design the control gains and triggering parameters jointly. Finally, numerical simulations of multiple unmanned aerial vehicles (UAVs) are presented to validate the designed control method.

改进动态事件触发下基于麻雀搜索联合设计算法的多智能体缩放编队控制

[1]Cao YC, Yu WW, Ren W, et al., 2013. An overview of recent progress in the study of distributed multi-agent coordination. IEEE Trans Ind Inform, 9(1):427-438.

[2]Chen WB, Chen YY, Zhang Y, 2022. Finite-time coordinated path-following control of leader-following multiagent systems. Front Inform Technol Electron Eng, 23(10):1511-1521.

[3]Dong XW, Zhou Y, Ren Z, et al., 2017. Time-varying formation tracking for second-order multi-agent systems subjected to switching topologies with application to quadrotor formation flying. IEEE Trans Ind Electron, 64(6):5014-5024.

[4]Du SL, Liu T, Ho DWC, 2020. Dynamic event-triggered control for leader-following consensus of multiagent systems. IEEE Trans Syst Man Cybern Syst, 50(9):3243-3251.

[5]Ge XH, Han QL, Zhang XM, 2018. Achieving cluster formation of multi-agent systems under aperiodic sampling and communication delays. IEEE Trans Ind Electron, 65(4):3417-3426.

[6]Ge XH, Han QL, Zhong MY, et al., 2019. Distributed Krein space-based attack detection over sensor networks under deception attacks. Automatica, 109:108557.

[7]Ge XH, Xiao SY, Han QL, et al., 2022. Dynamic eventtriggered scheduling and platooning control co-design for automated vehicles over vehicular ad-hoc networks. IEEE/CAA J Autom Sin, 9(1):31-46.

[8]Ge XH, Han QL, Wu Q, et al., 2023. Resilient and safe platooning control of connected automated vehicles against intermittent denial-of-service attacks. IEEE/CAA J Autom Sin, 10(5):1234-1251.

[9]Guan YP, Ge XH, 2018. Distributed attack detection and secure estimation of networked cyber-physical systems against false data injection attacks and jamming attacks. IEEE Trans Signal Inform Process Netw, 4(1):48-59.

[10]Guo XG, Liu PM, Wang JL, et al., 2021. Event-triggered adaptive fault-tolerant pinning control for cluster consensus of heterogeneous nonlinear multi-agent systems under aperiodic DoS attacks. IEEE Trans Netw Sci Eng, 8(2):1941-1956.

[11]He WL, Mo ZK, 2022. Secure event-triggered consensus control of linear multiagent systems subject to sequential scaling attacks. IEEE Trans Cybern, 52(10):10314-10327.

[12]He WL, Xu B, Han QL, et al., 2020. Adaptive consensus control of linear multiagent systems with dynamic eventtriggered strategies. IEEE Trans Cybern, 50(7):2996-3008.

[13]He WL, Xu WY, Ge XH, et al., 2022. Secure control of multiagent systems against malicious attacks: a brief survey. IEEE Trans Ind Inform, 18(6):3595-3608.

[14]Hu JP, Wu YZ, Li T, et al., 2019. Consensus control of general linear multiagent systems with antagonistic interactions and communication noises. IEEE Trans Autom Contr, 64(5):2122-2127.

[15]Huang J, Wen GG, Peng ZX, et al., 2020. Cluster-delay consensus for second-order nonlinear multi-agent systems. J Syst Sci Compl, 33(2):333-344.

[16]Ju YM, Ding DR, He X, et al., 2022. Consensus control of multi-agent systems using fault-estimation-in-the-loop: dynamic event-triggered case. IEEE/CAA J Autom Sin, 9(8):1440-1451.

[17]Lin ZY, Wang LL, Han ZM, et al., 2014. Distributed formation control of multi-agent systems using complex Laplacian. IEEE Trans Autom Contr, 59(7):1765-1777.

[18]Luo SP, Ye D, 2022. Cluster consensus control of linear multiagent systems under directed topology with general partition. IEEE Trans Autom Contr, 67(4):1929-1936.

[19]Ma L, Wang YL, Han QL, 2021. H_∞ cluster formation control of networked multiagent systems with stochastic sampling. IEEE Trans Cybern, 51(12):5761-5772.

[20]Mahony R, Kumar V, Corke P, 2012. Multirotor aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Robot Autom Mag, 19(3):20-32.

[21]Meng DY, Jia YM, 2016. Scaled consensus problems on switching networks. IEEE Trans Autom Contr, 61(6):1664-1669.

[22]Ning BD, Han QL, Zuo ZY, et al., 2023. Fixed-time and prescribed-time consensus control of multiagent systems and its applications: a survey of recent trends and methodologies. IEEE Trans Ind Inform, 19(2):1121-1135.

[23]Park P, Ko JW, Jeong C, 2011. Reciprocally convex approach to stability of systems with time-varying delays. Automatica, 47(1):235-238.

[24]Ren W, Atkins E, 2005. Second-order consensus protocols in multiple vehicle systems with local interactions. Proc AIAA Guidance, Navigation, and Control Conf and Exhibit.

[25]Roy S, 2015. Scaled consensus. Automatica, 51:259-262.

[26]Shan YH, Hu JF, Chan KW, et al., 2021. A unified model predictive voltage and current control for microgrids with distributed fuzzy cooperative secondary control. IEEE Trans Ind Inform, 17(12):8024-8034.

[27]Shen B, Wang ZD, Wang D, et al., 2020. Distributed statesaturated recursive filtering over sensor networks under round-robin protocol. IEEE Trans Cybern, 50(8):3605-3615.

[28]Su YF, Cai H, Huang J, 2022. The cooperative output regulation by the distributed observer approach. Int J Netw Dynam Intell, 1(1):20-35.

[29]Wang H, Yu WW, Wen GH, et al., 2019. Fixed-time consensus of nonlinear multi-agent systems with general directed topologies. IEEE Trans Circ Syst II Expr Briefs, 66(9):1587-1591.

[30]Wang JH, Bao F, Han L, et al., 2020. Discrete sliding mode control for time-varying formation tracking of multi-UAV system with a dynamic leader. Proc Chinese Automation Congress, p.4950-4955.

[31]Wang XL, Sun Y, Ding DR, 2022. Adaptive dynamic programming for networked control systems under communication constraints: a survey of trends and techniques. Int J Netw Dynam Intell, 1(1):85-98.

[32]Xie ML, Ding DR, Ge XH, et al., 2023. Distributed platooning control of automated vehicles subject to replay attacks based on proportional integral observers. IEEE/CAA J Autom Sin, early access.

[33]Xu B, He WL, 2018. Event-triggered cluster consensus of leader-following linear multi-agent systems. J Artif Intell Soft Comput Res, 8(4):293-302.

[34]Xue JK, Shen B, 2020. A novel swarm intelligence optimization approach: sparrow search algorithm. Syst Sci Contr Eng, 8(1):22-34.

[35]Ye MJ, Han QL, Ding L, et al., 2023. Distributed Nash equilibrium seeking in games with partial decision information: a survey. Proc IEEE, 111(2):140-157.

[36]Ye N, Zhang YB, Borror CM, 2004. Robustness of the Markov-chain model for cyber-attack detection. IEEE Trans Rel, 53(1):116-123.

[37]Yu JJ, Zhang KJ, Fei SM, 2009. Further results on mean square exponential stability of uncertain stochastic delayed neural networks. Commun Nonl Sci Numer Simul, 14(4):1582-1589.

[38]Yu JL, Dong XW, Li QD, et al., 2022. Adaptive practical optimal time-varying formation tracking control for disturbed high-order multi-agent systems. IEEE Trans Circ Syst I Reg Papers, 69(6):2567-2578.

[39]Zhang D, Xu ZH, Karimi HR, et al., 2018. Distributed H_∞ output-feedback control for consensus of heterogeneous linear multiagent systems with aperiodic sampled-data communications. IEEE Trans Ind Electron, 65(5):4145-4155.

[40]Zhang LZ, Li YY, Lou JG, et al., 2022. Bipartite asynchronous impulsive tracking consensus for multiagent systems. Front Inform Technol Electron Eng, 23(10):1522-1532.

[41]Zhang XM, Han QL, Ge XH, et al., 2023. Sampled-data control systems with non-uniform sampling: a survey of methods and trends. Ann Rev Contr, 55:70-91.

[42]Zhu GL, Liu KX, Gu HB, et al., 2022. Observer-based eventtriggered formation control of multi-agent systems with switching directed topologies. IEEE Trans Circ Syst I Reg Papers, 69(3):1323-1332.