Abstract
This paper addresses the \(L_2\) leader-following consensus problem for second-order multi-agent systems with nonlinear dynamics and external disturbances under directed topology. The event-triggered control (ETC) scheme with a new ETC protocol and an event-triggered condition has been introduced. In the control protocol, two parameters which are constrained by the predefined performance index are designed to adjust the convergence rate of the system. Based on the directed graph theory, we construct a Lyapunov function, and then prove theoretically that the system can achieve leader-following consensus without disturbance, and a predefined \(L_2\) gain performance index can be guaranteed under the zero initial condition when disturbances exist. A simulation example is provided to verify the theoretical results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kolaric P, Chen C, Dalal A, Lewis FL (2018) Consensus controller for multi-UAV navigation. Control Theory Technol Control Theory Technol 16(2):110–121
Ren W (2007) Formation keeping and attitude alignment for multiple spacecraft through local interactions. J Guid Control Dyn 30(2):633–638
Zhao L, Jia Y (2014) Decentralized adaptive attitude synchronization control for spacecraft formation using nonsingular fast terminal sliding mode. Nonlinear Dyn 78(4):2779–2794
Schiffer J, Seel T, Raisch J, Sezi T (2016) Voltage stability and reactive power sharing in inverter-based microgrids with consensus-based distributed voltage control. IEEE Trans Control Syst Technol 24(1):96–109
Chen Q, Yin C, Zhou J, Wang Y, Wang X, Chen C (2018) Hybrid consensus-based cubature Kalman filtering for distributed state estimation in sensor networks. IEEE Sens J 18(11):4561–4569
Lin P, Jia Y (2010) Consensus of a class of second-order multi-agent systems with time-delay and jointly-connected topologies. IEEE Trans Autom Control 55(3):778–784
Seo JH, Shim H, Back J (2009) Consensus of high-order linear systems using dynamic output feedback compensator: low gain approach. Automatica 45(11):2659–2664
Liu W, Zhou S, Qi Y, Wu X (2016) Leaderless consensus of multi-agent systems with Lipschitz nonlinear dynamics and switching topologies. Neurocomputing 173:1322–1329
Feng Y, Zheng WX (2018) Group consensus control for discrete-time heterogeneous first-and second-order multi-agent systems. IET Control Theory Appl 12(6):753–760
Ni W, Cheng D (2010) Leader-following consensus of multi-agent systems under fixed and switching topologies. Syst Control Lett 59(3–4):209–217
Wen G, Zhao Y, Duan Z, Yu W, Chen G (2016) Containment of higher-order multi-leader multi-agent systems: a dynamic output approach. IEEE Trans Autom Control 61(4):1135–1140
Guo G, Ding L, Han QL (2014) A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems. Automatica 50(5):1489–1496
Hu W, Liu L, Feng G (2017) Output consensus of heterogeneous linear multi-agent systems by distributed event-triggered/self-triggered strategy. IEEE Trans Cybern 47(8):1914–1924
Liu L, Zhou W, Li X, Sun Y (2019) Dynamic event-triggered approach for cluster synchronization of complex dynamical networks with switching via pinning control. Neurocomputing 340:32–41
Xie T, Liao X, Li H (2016) Leader-following consensus in second-order multi-agent systems with input time delay: an event-triggered sampling approach. Neurocomputing 177:130–135
Ma L, Wang Z, Lam HK (2017) Event-triggered mean-square consensus control for time-varying stochastic multi-agent system with sensor saturations. IEEE Trans Autom Control 62(7):3524–3531
Zhang Z, Hao F, Zhang L, Wang L (2014) Consensus of linear multi-agent systems via event-triggered control. Int J Control 87(6):1243–1251
Liu Z, Chen Z, Yuan Z (2012) Event-triggered average-consensus of multi-agent systems with weighted and direct topology. J Syst Sci Complex 25(5):845–855
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
Li Z, Duan Z, Chen G (2011) On \(H_{\infty }\) and \(H_2\) performance regions of multi-agent systems. Automatica 47(4):797–803
Zhang H, Yang R, Yan H, Yang F (2016) \(H_{\infty }\) consensus of event-based multi-agent systems with switching topology. Inf Sci 370–371:623–635
Saboori I, Khorasani K (2014) \(H_ {\infty }\) consensus achievement of multi-agent systems with directed and switching topology networks. IEEE Trans Autom Control 59(11):3104–3109
He W, Xu C, Han QL, Qian F, Lang Z (2017) Finite-time \(L_2\) leader-follower consensus of networked Euler-Lagrange systems with external disturbances. IEEE Trans Syst Man Cybern: Syst 48(11):1–9
Wen G, Duan Z, Li Z, Chen G (2012) Consensus and its \(L_2\)-gain performance of multi-agent systems with intermittent information transmissions. Int J Control 85(4):384–396
Qu Z (2009) Cooperative control of dynamical systems: applications to autonomous vehicles. Springer, Heidelberg
Li Z, Duan Z, Chen G, Huang L (2010) Consensus of multiagent systems and synchronization of complex networks: a unified viewpoint. IEEE Trans Circuits Syst I Regul Pap 57(1):213–224
Acknowledgments
This work was partially supported by the National Natural Science Foundation of China (No. 61573095 and No. 61705127).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ren, Y., Zhou, W., Li, Z., Sun, Y. (2020). \(L_2\) Leader-Following Consensus of Second-Order Nonlinear Multi-agent Systems with Disturbances Under Directed Topology via Event-Triggered Control Scheme. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 592. Springer, Singapore. https://doi.org/10.1007/978-981-32-9682-4_15
Download citation
DOI: https://doi.org/10.1007/978-981-32-9682-4_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9681-7
Online ISBN: 978-981-32-9682-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)