Consensus Tracking Algorithm Via Observer-Based Distributed Output Feedback for Multi-Agent Systems Under Switching Topology

This paper is devoted to consensus tracking algorithm via observer-based distributed output feedback with adaptive coupling gains for leader-follower multi-agent systems under arbitrary switching topology. The full state of neighboring followers in our work is not available, and the leader’s input might be nonzero and bounded generally. We design the actual observer and adaptive coupling gains to ensure the consensus tracking in a fully distributed fashion for the connected switching topologies. Both the observer gain and feedback gain are determined simultaneously. Sufficient conditions for the multi-agent system to reach consensus are obtained in terms of linear matrix inequalities by a cone complementary linearization technology. An illustrative example is provided to validate the theoretical results.

[1]  Frank L. Lewis,et al.  Synchronization of discrete-time multi-agent systems on graphs using Riccati design , 2012, Autom..

[2]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[3]  Ren C. Luo,et al.  Development of a multi-behavior based mobile robot for remote supervisory control through the Internet , 2000 .

[4]  Frank L. Lewis,et al.  Optimal Design for Synchronization of Cooperative Systems: State Feedback, Observer and Output Feedback , 2011, IEEE Transactions on Automatic Control.

[5]  Lihua Xie,et al.  Distributed Tracking Control for Linear Multiagent Systems With a Leader of Bounded Unknown Input , 2013, IEEE Transactions on Automatic Control.

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

[7]  Wei Xing Zheng,et al.  Distributed control gains design for consensus in multi-agent systems with second-order nonlinear dynamics , 2013, Autom..

[8]  Yiguang Hong,et al.  Distributed Observers Design for Leader-Following Control of Multi-Agent Networks (Extended Version) , 2017, 1801.00258.

[9]  Yeong-Hwa Chang,et al.  Fuzzy Sliding-Mode Formation Control for Multirobot Systems: Design and Implementation , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[10]  Steve Goddard,et al.  Localization and follow-the-leader control of a heterogeneous group of mobile robots , 2006 .

[11]  James Lam,et al.  Static Output Feedback Stabilization: An ILMI Approach , 1998, Autom..

[12]  Lihua Xie,et al.  Distributed consensus for multi-agent systems with delays and noises in transmission channels , 2011, Autom..

[13]  Elham Semsar-Kazerooni,et al.  Optimal consensus algorithms for cooperative team of agents subject to partial information , 2008, Autom..

[14]  Yingmin Jia,et al.  Distributed rotating formation control of multi-agent systems , 2010, Syst. Control. Lett..

[15]  Yang Liu,et al.  Stability analysis of M-dimensional asynchronous swarms with a fixed communication topology , 2003, IEEE Trans. Autom. Control..

[16]  Yisheng Zhong,et al.  Output consensus analysis and design for high-order linear swarm systems: Partial stability method , 2012, Autom..

[17]  Long Wang,et al.  Swarming behavior of multi-agent systems , 2004, math/0405405.

[18]  Dietrich Hummel,et al.  FORMATION FLIGHT AS AN ENERGY-SAVING MECHANISM , 2013 .

[19]  Jay A. Farrell,et al.  Cooperative Control of Multiple Nonholonomic Mobile Agents , 2008, IEEE Transactions on Automatic Control.

[20]  Yang Liu,et al.  Robust H∞ consensus control of uncertain multi-agent systems with time delays , 2011 .

[21]  Carlos Vivas,et al.  Distributed consensus-based estimation considering network induced delays and dropouts , 2012, Autom..

[22]  Jie Huang,et al.  Stability of a Class of Linear Switching Systems with Applications to Two Consensus Problems , 2011, IEEE Transactions on Automatic Control.

[23]  A. Schwartz Daily fatigue patterns and effect of exercise in women with breast cancer. , 2000, Cancer practice.

[24]  Reza Olfati-Saber,et al.  Flocking for multi-agent dynamic systems: algorithms and theory , 2006, IEEE Transactions on Automatic Control.

[25]  Daizhan Cheng,et al.  Leader-following consensus of multi-agent systems under fixed and switching topologies , 2010, Syst. Control. Lett..

[26]  L. Ghaoui,et al.  A cone complementarity linearization algorithm for static output-feedback and related problems , 1997, IEEE Trans. Autom. Control..

[27]  Randal W. Beard,et al.  Consensus seeking in multiagent systems under dynamically changing interaction topologies , 2005, IEEE Transactions on Automatic Control.

[28]  Wei Ren,et al.  Distributed consensus of linear multi-agent systems with adaptive dynamic protocols , 2011, Autom..