Synchronization of linear agents with sector-bounded input nonlinearities

This paper is concerned with the local synchronization of linear agents subject to sector-bounded input nonlinearities over an undirected communication graph. We first derive a sufficient LMI condition for achieving the local synchronization for any nonlinearities satisfying a given sector condition. Based on this analysis, we present a sufficient LMI synthesis condition of a relative state feedback protocol which locally synchronizes the linear agents with arbitrary sector-bounded input nonlinearities. The desired protocol can be efficiently obtained via convex optimization, since the present synthesis condition is convex in the decision variables and is independent of the size of the communication graph.

[1]  Kiyotsugu Takaba,et al.  Robust Synchronization of Uncertain Linear Multi-Agent Systems , 2013, IEEE Transactions on Automatic Control.

[2]  Reza Olfati-Saber,et al.  Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.

[3]  Wei Wei,et al.  Consensus problems for linear time-invariant multi-agent systems with saturation constraints , 2011 .

[4]  Magnus Egerstedt,et al.  Graph Theoretic Methods in Multiagent Networks , 2010, Princeton Series in Applied Mathematics.

[5]  Fan Zhang,et al.  Output feedback robust synchronization of networked Lur'e Systems with incrementally passive nonlinearities , 2014 .

[6]  Rodolphe Sepulchre,et al.  Synchronization in networks of identical linear systems , 2009, Autom..

[7]  Rodolphe Sepulchre,et al.  Synchronization in networks of identical linear systems , 2008, 2008 47th IEEE Conference on Decision and Control.

[8]  Hideaki Tanaka,et al.  D-stability and robust stability conditions for LTI systems with generalized frequency variables , 2010, 49th IEEE Conference on Decision and Control (CDC).

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

[10]  Ziyang Meng,et al.  On global consensus of linear multi-agent systems subject to input saturation , 2012, 2012 American Control Conference (ACC).

[11]  Kiyotsugu Takaba,et al.  Local Synchronization of Linear Multi-Agent Systems Subject to Input Saturation , 2015 .

[12]  Ali Saberi,et al.  Semi-global regulation of output synchronization for heterogeneous networks of non-introspective, invertible agents subject to actuator saturation , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[13]  Fan Zhang,et al.  Fully distributed robust synchronization of networked Lur'e systems with incremental nonlinearities , 2014, Autom..

[14]  Frank Allgöwer,et al.  An internal model principle is necessary and sufficient for linear output synchronization , 2011, Autom..

[15]  E. Yaz Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

[16]  Ulf Jönsson,et al.  A scalable robust stability criterion for systems with heterogeneous LTI components , 2009, ACC.

[17]  Kiyotsugu Takaba,et al.  Synchronization of linear multi-agent systems under input saturation , 2014 .

[18]  Ziyang Meng,et al.  Global consensus in homogeneous networks of discrete-time agents subject to actuator saturation , 2013, 2013 European Control Conference (ECC).

[19]  Kiyotsugu Takaba,et al.  Synchronization of Linear Multi-Agent Systems with Input Nonlinearities via Dynamic Protocols , 2015 .

[20]  Lin Huang,et al.  Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.