Weighted centroid tracking control for multi-agent systems

This paper investigates the weighted centroid formation tracking control for multi-agent systems. First, a class of novel distributed observers is developed for each agent to infer the formation's weighted centroid in finite time. Then, the distance-based control law is proposed based on the estimations, such that the weighted centroid of the formation is driven to track the assigned time-varying reference, meanwhile maintaining the prescribed formation shape. Moreover, the formation stabilization error is shown to converge to zero using the proposed observer-controller scheme utilizing the finite-time Lyapunov stability of the observers. Finally, all the theoretical results are further validated through numerical simulations.

[1]  Bruce Hendrickson,et al.  Conditions for Unique Graph Realizations , 1992, SIAM J. Comput..

[2]  S. Łojasiewicz Ensembles semi-analytiques , 1965 .

[3]  Hyo-Sung Ahn,et al.  Distance‐based undirected formations of single‐integrator and double‐integrator modeled agents in n‐dimensional space , 2014 .

[4]  B. Roth,et al.  The rigidity of graphs, II , 1979 .

[5]  Wei Wang,et al.  Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots , 2014, Autom..

[6]  Sonia Martínez,et al.  Discrete-time dynamic average consensus , 2010, Autom..

[7]  Wenwu Yu,et al.  Distributed leader-follower flocking control for multi-agent dynamical systems with time-varying velocities , 2010, Syst. Control. Lett..

[8]  A.S. Morse,et al.  Finite Time Distance-based Rigid Formation Stabilization and Flocking , 2014 .

[9]  Jorge Cortes,et al.  Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms , 2009 .

[10]  Naomi Ehrich Leonard,et al.  Stabilization of Planar Collective Motion With Limited Communication , 2008, IEEE Transactions on Automatic Control.

[11]  Warren E. Dixon,et al.  Graph Matching-Based Formation Reconfiguration of Networked Agents With Connectivity Maintenance , 2015, IEEE Transactions on Control of Network Systems.

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

[13]  Lili Wang,et al.  Distributed Formation Control of Multi-Agent Systems Using Complex Laplacian , 2014, IEEE Transactions on Automatic Control.

[14]  B. Roth,et al.  The rigidity of graphs , 1978 .

[15]  Wei Ren,et al.  Multi-vehicle consensus with a time-varying reference state , 2007, Syst. Control. Lett..

[16]  Shaoshuai Mou,et al.  Target-point formation control , 2015, Autom..

[17]  Brian D. O. Anderson,et al.  Reaching a Consensus in a Dynamically Changing Environment: Convergence Rates, Measurement Delays, and Asynchronous Events , 2008, SIAM J. Control. Optim..

[18]  J. Hendrickx,et al.  Rigid graph control architectures for autonomous formations , 2008, IEEE Control Systems.

[19]  Gerhard Krieger,et al.  Interferometric Synthetic Aperture Radar (SAR) Missions Employing Formation Flying , 2010, Proceedings of the IEEE.

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

[21]  B. Mohar THE LAPLACIAN SPECTRUM OF GRAPHS y , 1991 .

[22]  Naomi Ehrich Leonard,et al.  Coordinated patterns of unit speed particles on a closed curve , 2007, Syst. Control. Lett..

[23]  Ming Cao,et al.  Controlling Rigid Formations of Mobile Agents Under Inconsistent Measurements , 2015, IEEE Transactions on Robotics.

[24]  Christopher Edwards,et al.  Sliding mode control : theory and applications , 1998 .

[25]  Shaoshuai Mou,et al.  Undirected Rigid Formations Are Problematic , 2015, IEEE Transactions on Automatic Control.

[26]  Gianluca Antonelli,et al.  Decentralized time-varying formation control for multi-robot systems , 2014, Int. J. Robotics Res..

[27]  Brian D. O. Anderson,et al.  Formation control using range-only measurements , 2011, Autom..

[28]  Long Wang,et al.  Finite-Time Consensus Problems for Networks of Dynamic Agents , 2007, IEEE Transactions on Automatic Control.

[29]  Karl Henrik Johansson,et al.  Stability analysis for multi-agent systems using the incidence matrix: Quantized communication and formation control , 2010, Autom..

[30]  Florian Dörfler,et al.  Formation control of autonomous robots based on cooperative behavior , 2009, 2009 European Control Conference (ECC).

[31]  Gianluca Antonelli,et al.  A Decentralized Controller-Observer Scheme for Multi-Agent Weighted Centroid Tracking , 2011, IEEE Transactions on Automatic Control.