Set tracking of multi-agent systems with variable topologies guided by moving multiple leaders

In this paper, we consider the distributed control of a group of autonomous agents to track the convex hull specified by multiple moving leaders maybe with unmeasurable velocities. Directed interconnection topologies of the follower agents are investigated for the set input-to-state stability (SISS) and set integral input-to-state stability (SiISS), and connectivity-based necessary and sufficient conditions are obtained. Then the tracking errors can be estimated between the agents with nonlinear neighbor-based coordination rules and the polytope spanned by the leaders with the help of SISS and SiISS.

[1]  Giancarlo Ferrari-Trecate,et al.  Containment Control in Mobile Networks , 2008, IEEE Transactions on Automatic Control.

[2]  Vijay Kumar,et al.  Leader-to-formation stability , 2004, IEEE Transactions on Robotics and Automation.

[3]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

[4]  N. Rouche,et al.  Stability Theory by Liapunov's Direct Method , 1977 .

[5]  Eduardo Sontag,et al.  On characterizations of the input-to-state stability property , 1995 .

[6]  Yongcan Cao,et al.  Containment control with multiple stationary or dynamic leaders under a directed interaction graph , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[7]  Eduardo D. Sontag,et al.  Synchronization of interconnected systems with an input-output approach. Part II: State-space result and application to biochemical networks , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[8]  Eduardo Sontag Comments on integral variants of ISS , 1998 .

[9]  Xiaoming Hu,et al.  An Extension of LaSalle's Invariance Principle and Its Application to Multi-Agent Consensus , 2008, IEEE Transactions on Automatic Control.

[10]  J. Danskin The Theory of Max-Min, with Applications , 1966 .

[11]  Chien Chern Cheah,et al.  Region following formation control for multi-robot systems , 2008, 2008 IEEE International Conference on Robotics and Automation.

[12]  Daizhan Cheng,et al.  Lyapunov-Based Approach to Multiagent Systems With Switching Jointly Connected Interconnection , 2007, IEEE Transactions on Automatic Control.

[13]  George J. Pappas,et al.  Stable flocking of mobile agents part I: dynamic topology , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[14]  Jie Lin,et al.  Coordination of groups of mobile autonomous agents using nearest neighbor rules , 2003, IEEE Trans. Autom. Control..

[15]  Yuandan Lin,et al.  STABILIZATION WITH RESPECT TO NONCOMPACT SETS: LYAPUNOV CHARACTERIZATIONS AND EFFECT OF BOUNDED INPUTS , 1992 .

[16]  Luc Moreau,et al.  Stability of multiagent systems with time-dependent communication links , 2005, IEEE Transactions on Automatic Control.

[17]  Gordon F. Royle,et al.  Algebraic Graph Theory , 2001, Graduate texts in mathematics.

[18]  Guodong Shi,et al.  Global target aggregation and state agreement of nonlinear multi-agent systems with switching topologies , 2009, Autom..

[19]  Yu. S. Ledyaev,et al.  Nonsmooth analysis and control theory , 1998 .

[20]  Manfredi Maggiore,et al.  State Agreement for Continuous-Time Coupled Nonlinear Systems , 2007, SIAM J. Control. Optim..

[21]  I. Couzin,et al.  Effective leadership and decision-making in animal groups on the move , 2005, Nature.

[22]  Randal W. Beard,et al.  Distributed Consensus in Multi-vehicle Cooperative Control - Theory and Applications , 2007, Communications and Control Engineering.

[23]  R. Tyrrell Rockafellar,et al.  Convex Analysis , 1970, Princeton Landmarks in Mathematics and Physics.

[24]  Zhong-Ping Jiang,et al.  Small-gain theorem for ISS systems and applications , 1994, Math. Control. Signals Syst..