Abstract
This paper investigates finite-time mean square average consensus of second-order multi-agent systems, where connected typologies are directed and subject to Markovian switching, agents dynamics are nonlinear and interrupt by impulses. In order to eliminate the chattering phenomenon in finite-time control, we propose a protocol without sign function, that contains neighborhood and self state feedbacks. Also, by employing graph theory, some graph-related matrices are formed to analyze directed switching topologies. Then, expectations of multi-agent systems energy evolution are bounded in both continuous and discontinuous time by using stochastic and discontinuous stability theories. In this basis, sufficient finite-time mean square consensus criteria are established and their settling times are obtained. Simulation examples prove the theoretical results are correct and the finite-time protocol is valid.
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References
Olfati-Saber R, Fax J, Murray RM (2007) Consensus and cooperation in networked multi-agent systems. Proc IEEE 95(1):215–233
Xiao F, Wang L (2007) Consensus problems for high-dimensional multi-agent systems. IET Control Theory Appl 1(3):830–837
Li H, Liao X, Huang T, Zhu W (2015) Event-triggering sampling based leader-following consensus in second-order multi-agent systems. IEEE Trans Autom Control 60(7):1998–2003
Zhu Z, Guan Z, Hu B et al (2021) Semi-global bipartite consensus tracking of singular multi-agent systems with input saturation. Neurocomputing 432(7):183–193
Zhao H, Peng L, Yu H (2021) Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation. Int J Robust Nonlinear Control. https://doi.org/10.1002/rnc.5630
Li H, Chen G, Huang T, Dong Z (2017) High-performance consensus control in networked systems with limited bandwidth communication and time-varying directed topologies. IEEE Trans Neural Netw Learn Syst 28(5):1043–1054
Zheng Y, Ma J, Wang L (2018) Consensus of hybrid multi-agent systems. IEEE Trans Neural Netw Learn Syst 29(4):1359–1365
Gong P, Wang K, Lan W (2019) Fully distributed robust consensus control of multi-agent systems with heterogeneous unknown fractional-order dynamics. Int J Syst Sci 50(10):1902–1919
Ji L, Tong S, Li H (2021) Dynamic group consensus for delayed heterogeneous multi-agent systems in cooperative-competitive networks via pinning control[J]. Neurocomputing 443(5):1–11
Zhan J, Jiang Z, Wang Y, Li X (2019) Distributed model predictive consensus with self-triggered mechanism in general linear multiagent systems. IEEE Trans Ind Inf 15(7):3987–3997
Yang X, Wu Z, Cao J (2013) Finite-time synchronization of complex networks with nonidentical discontinuous nodes. Nonlinear Dyn 73:2313–2327
Li Q, Wei J, Yuan J, Gou Q, Niu Z (2021) Distributed event-triggered adaptive finite-time consensus control for second-order multi-agent systems with connectivity preservation. J Franklin Inst 358(12):6013–6034
Cui Y, Liu X, Deng X, Wen G (2021) Command-filter-based adaptive finite-time consensus control for nonlinear strict-feedback multi-agent systems with dynamic leader. Inf Sci 565:17–31
Hu Z, Yang J (2018) Distributed finite-time optimization for second order continuous-time multiple agents systems with time-varying cost function. Neurocomputing 287:173–184
Yao D, Dou C, Zhao N, Zhang T (2021) Finite-time consensus control for a class of multi-agent systems with dead-zone input. J Franklin Inst 358:3512–3529
Yang X, Lu J (2016) Finite-time synchronization of coupled networks with Markovian topology and impulsive effects. IEEE Trans Autom Control 61(8):2256–2261
Zhang W, Li C, He X et al (2018) Finite-time synchronization of complex networks with non-identical nodes and impulsive disturbances. Mod Phys Lett B 32(1):1850002
Zhang W, Li C, Huang T et al (2018) Finite-time synchronization of neural networks with multiple proportional delays via non-chattering control. Int J Control Autom Syst 16:2473–2479
Tian Y, Li C (2020) Finite-time consensus of second-order nonlinear multi-agent systems with impulsive effects. Mod Phys Lett B 34(35):2050406
Chen T, Peng S, Zhang Z (2021) Finite-time consensus of leader-following non-linear multi-agent systems via event-triggered impulsive control. IET Control Theory Appl 4(15):926–936
Qin J, Yu C, Hirche S (2012) Stationary consensus of asynchronous discrete-time second-order multi-agent systems under switching topology. IEEE Trans Ind Inf 8(4):986–994
Wu X, Tang Y, Cao J et al (2016) Distributed consensus of stochastic delayed multi-agent systems under asynchronous switching. IEEE Trans Cybern 46(8):1817–1827
Franceschelli M, Giua A, Pisano A et al (2013) Finite-time consensus for switching network topologies with disturbances. Nonlinear Anal Hybrid Syst 10:83–93
Li W, Wu Z (2013) Output tracking of stochastic high-order nonlinear systems with Markovian switching. IEEE Trans Autom Control 58(6):1585–1590
Liu Q, Wang Z, He X et al (2019) Event-based distributed filtering over Markovian switching topologies. IEEE Trans Autom Control 64(4):1595–1602
Liang K, He W, Xu J, Qian F (2022) Impulsive effects on synchronization of singularly perturbed complex networks with semi-markov jump topologies. IEEE Trans Syst Man Cybern Syst 52(5):3163–3173
He W, Qian F, Han Q et al (2020) Almost sure stability of nonlinear systems under random and impulsive sequential attacks. IEEE Trans Autom Control 65(9):3879–3886
Yu W, Chen G, Cao M, Kurths J (2010) Second-order consensus for multiagent systems with directed topologies and nonlinear dynamics. IEEE Trans Syst Man Cybern Part B (Cybernetics) 40(3):881–891
Yaz EE (1998) Linear matrix inequalities in system and control theory. Proc IEEE 86(12):2473–2474
Mao X (2007) Stochastic differential equations and applications, 2nd edn. Woodhead Publishing, Cambridge
Zou W, Xiang Z, 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
Zhang J, Li T, Li T et al (2009) Mean square average-consensus under measurement noises and fixed topologies: necessary and sufficient conditions. Automatica 45(8):1929–1936
Yang T (2001) Impulsive control theory. Springer-Verlag, New York
Mariton M (1990) Jump linear systems in automatic control. Marcel Dekker, New York
Poss S (1996) Stochastic processes, 2nd edn. Wiley, New York
Chua LO, Pivka L, Wu C (1995) A universal circuit for studying chaotic phenomena. Philos Trans R Soc B Biol 353(1701):65–84
Acknowledgments
This work was supported by the National Natural Science Foundation of China under Grants No. 61173178, 61374078 and 61633011, the Science and Technology Research Program of Chongqing Municipal Education Commission in China Grant No.KJZD-K202100104 and Natural Science Foundation of Chongqing under Grant No.cstc2021jcyj-msxmX1212, China.
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Tian, Y., Li, H. & Han, Q. Finite-time average consensus of directed second-order multi-agent systems with Markovian switching topology and impulsive disturbance. Neural Comput & Applic 35, 8575–8588 (2023). https://doi.org/10.1007/s00521-022-08131-2
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DOI: https://doi.org/10.1007/s00521-022-08131-2