Scale-free Linear Observer-based Protocol Design for Global Regulated State Synchronization of Homogeneous Multi-agent Systems with Non-introspective Agents Subject to Input Saturation

This paper studies global regulated state synchronization of homogeneous networks of non-introspective agents in presence of input saturation. We identify three classes of agent models which are neutrally stable, double-integrator, and mixed of double-integrator, single-integrator and neutrally stable dynamics. A scale-free linear observer-based protocol design methodology is developed based on localized information exchange among neighbors where the reference trajectory is given by a so-called exosystem which is assumed to be globally reachable. Our protocols do not need any knowledge about the communication network topology and the spectrum of associated Laplacian matrix. Moreover, the proposed protocol is scalable and is designed based on only knowledge of agent models and achieves synchronization for any communication graph with arbitrary number of agents.

[1]  A. Saberi,et al.  Solvability conditions and design for synchronization of discrete‐time multiagent systems , 2018 .

[2]  Hyungbo Shim,et al.  Output Consensus of Heterogeneous Uncertain Linear Multi-Agent Systems , 2011, IEEE Transactions on Automatic Control.

[3]  Meirong Zhang,et al.  Passivity based state synchronization of homogeneous discrete-time multi-agent systems via static protocol in presence of input delay , 2018, 2018 Annual American Control Conference (ACC).

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

[5]  Karl Henrik Johansson,et al.  Distributed event-triggered control for global consensus of multi-agent systems with input saturation , 2017, Autom..

[6]  Ali Saberi,et al.  Regulated State Synchronization for Discrete-time Homogeneous Networks of Non-introspective Agents in Presence of Unknown Non-uniform Input Delays: A Scale-free Protocol Design , 2020, 2020 39th Chinese Control Conference (CCC).

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

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

[9]  Ziyang Meng,et al.  On global leader-following consensus of identical linear dynamic systems subject to actuator saturation , 2013, Syst. Control. Lett..

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

[11]  Hyungbo Shim,et al.  Consensus of high-order linear systems using dynamic output feedback compensator: Low gain approach , 2009, Autom..

[12]  Yongcan Cao,et al.  Distributed Coordination of Multi-agent Networks , 2011 .

[13]  Wei Ren,et al.  On Consensus Algorithms for Double-Integrator Dynamics , 2007, IEEE Transactions on Automatic Control.

[14]  Meirong Zhang,et al.  Passivity based state synchronization of multi-agent systems via static or adaptive nonlinear dynamic protocols , 2018, 2018 Chinese Control And Decision Conference (CCDC).

[15]  Meirong Zhang,et al.  Solvability conditions and design for state synchronization of multi-agent systems , 2017, 2017 American Control Conference (ACC).

[16]  Ali Saberi,et al.  Output synchronization for heterogeneous networks of introspective right‐invertible agents , 2014 .

[17]  Ali Saberi,et al.  Global and Semi-global Regulated State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Saturation- A Scale-free Protocol Design , 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

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

[19]  S. E. Tuna LQR-based coupling gain for synchronization of linear systems , 2008, 0801.3390.

[20]  Meirong Zhang,et al.  Passivity‐based state synchronization of homogeneous multiagent systems via static protocol in the presence of input saturation , 2018 .

[21]  Ali Saberi,et al.  Regulated State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Delays: A Scale-Free Protocol Design , 2020, 2020 Chinese Control And Decision Conference (CCDC).

[22]  Hyungbo Shim,et al.  Consensus of output-coupled linear multi-agent systems under fast switching network: Averaging approach , 2013, Autom..

[23]  Chai Wah Wu,et al.  Synchronization in Complex Networks of Nonlinear Dynamical Systems , 2008 .

[24]  Ziyang Meng,et al.  Global consensus for discrete-time multi-agent systems with input saturation constraints , 2014, Autom..

[25]  Ali Saberi,et al.  Output synchronization for heterogeneous networks of non-introspective agents , 2012, Autom..

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

[27]  Sezai Emre Tuna,et al.  Conditions for Synchronizability in Arrays of Coupled Linear Systems , 2008, IEEE Transactions on Automatic Control.

[28]  Guanghui Wen,et al.  Finite-Time Consensus for Second-Order Multi-Agent Systems With Input Saturation , 2018, IEEE Transactions on Circuits and Systems II: Express Briefs.

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

[30]  Frank Allgöwer,et al.  On topology and dynamics of consensus among linear high-order agents , 2011, Int. J. Syst. Sci..

[31]  Hassan K. Khalil,et al.  Synchronization in Networks of Identical Linear Systems with Reduced Information , 2018, 2018 Annual American Control Conference (ACC).

[32]  Ali Saberi,et al.  Internal and External Stabilization of Linear Systems with Constraints , 2012 .

[33]  Ali Saberi,et al.  Output and Regulated Output Synchronization of Heterogeneous Multi-agent Systems: A Scale-free Protocol Design using no Information about Communication Network and the Number of Agents , 2020, 2020 American Control Conference (ACC).

[34]  H. Shim,et al.  Output feedback consensus for high-order linear systems having uniform ranks under switching topology , 2012 .