Decentralised regulation of nonlinear multi-agent systems with directed network topologies

ABSTRACT This paper aims to address the leader–follower regulation problem of multi-agent systems with directed network topologies, where the agents are described by feedforward nonlinearities with the growth rate being unknown a priori. Both the state feedback regulation protocol and the output feedback regulation protocol are delicately constructed such that all the states of followers can converge to the leader state globally. In this paper, a model transformation is firstly performed and the leader–follower regulation problem can be transformed into a general regulation problem. Then, by introducing an appropriate state transformation, the regulation problem can be changed into a parameter determined problem. It is proved that the parameter can be determined by both the properties of M-matrices and the estimates of nonlinear terms. Finally, a numerical example is presented to show the feasibility of designed protocols.

[1]  Sung Jin Yoo,et al.  Distributed adaptive containment control of uncertain nonlinear multi-agent systems in strict-feedback form , 2013, Autom..

[2]  Yupu Yang,et al.  Leader-following consensus problem with a varying-velocity leader and time-varying delays , 2009 .

[3]  Ahmed Rahmani,et al.  Distributed leader-following consensus for second-order multi-agent systems with nonlinear inherent dynamics , 2014, Int. J. Syst. Sci..

[4]  James Lam,et al.  Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[5]  H. Ji,et al.  Leader-follower consensus for a class of nonlinear multi-agent systems , 2012 .

[6]  Wei Lin,et al.  Time-Varying Output Feedback Control of a Family of Uncertain Nonlinear Systems , 2003 .

[7]  C.K. Tse,et al.  Adaptive feedforward and feedback control schemes for sliding mode controlled power converters , 2006, IEEE Transactions on Power Electronics.

[8]  Lihua Xie,et al.  Distributed robust control of linear multi-agent systems with parameter uncertainties , 2011, Int. J. Control.

[9]  Chenghui Zhang,et al.  Leader-follower consensus of upper-triangular nonlinear multi-agent systems , 2014, IEEE/CAA Journal of Automatica Sinica.

[10]  Gang Feng,et al.  Leader-follower consensus of time-varying nonlinear multi-agent systems , 2015, Autom..

[11]  Guoqiang Hu,et al.  Consensus tracking for higher-order multi-agent systems with switching directed topologies and occasionally missing control inputs , 2013, Syst. Control. Lett..

[12]  X. Zhang,et al.  Global stabilization of a class of time-delay nonlinear systems , 2005, Int. J. Syst. Sci..

[13]  Robert J. Plemmons,et al.  Nonnegative Matrices in the Mathematical Sciences , 1979, Classics in Applied Mathematics.

[14]  Xiaoli Wang,et al.  Distributed event-triggered output regulation of multi-agent systems , 2015, Int. J. Control.

[15]  Qingrong Liu,et al.  Finite-time consensus of time-varying nonlinear multi-agent systems , 2016, Int. J. Syst. Sci..

[16]  Jie Huang,et al.  Cooperative semi-global robust output regulation for a class of nonlinear uncertain multi-agent systems , 2014, Autom..

[17]  Wenwu Yu,et al.  An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination , 2012, IEEE Transactions on Industrial Informatics.

[18]  Junping Du,et al.  Robust iterative learning protocols for finite-time consensus of multi-agent systems with interval uncertain topologies , 2015, Int. J. Syst. Sci..

[19]  Seif Haridi,et al.  Distributed Algorithms , 1992, Lecture Notes in Computer Science.