H∞ almost state synchronization for homogeneous networks of non-introspective agents: A scale-free protocol design

Abstract This paper studies scale-free protocol design for H ∞ almost state synchronization of homogeneous networks of non-introspective agents in the presence of external disturbances. A linear dynamic protocol is developed based on localized information exchange over the same communication network, which does not need any knowledge of the directed network topology and the spectrum of the associated Laplacian matrix. Moreover, the proposed protocol is scalable and achieves H ∞ almost synchronization with a given arbitrary degree of accuracy for any arbitrary number of agents.

[1]  Ali Saberi,et al.  Design for H∞ almost disturbance decoupling problem with internal stability via state or measurement feedback―singular perturbation approach , 1992 .

[2]  Ali Saberi,et al.  H2 almost output synchronization of heterogeneous continuous-time multi-agent systems with passive agents and partial state coupling via static protocol , 2019, 2019 American Control Conference (ACC).

[3]  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).

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

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

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

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

[8]  Zhisheng Duan,et al.  On H∞ and H2 performance regions of multi-agent systems , 2011, Autom..

[9]  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).

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

[11]  Guanghui Wen,et al.  Distributed H ∞ consensus of multi-agent systems: a performance region-based approach , 2012, Int. J. Control.

[12]  Wei Ren On Consensus Algorithms for Double-Integrator Dynamics , 2008, IEEE Trans. Autom. Control..

[13]  Zidong Wang,et al.  State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[14]  Bo Shen,et al.  Distributed State-Saturated Recursive Filtering Over Sensor Networks Under Round-Robin Protocol , 2020, IEEE Transactions on Cybernetics.

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

[16]  Gang Feng,et al.  Robust cooperative output regulation of multi-agent systems via adaptive event-triggered control , 2019, Autom..

[17]  Xianwei Li,et al.  Output-feedback protocols without controller interaction for consensus of homogeneous multi-agent systems: A unified robust control view , 2017, Autom..

[18]  Frank L. Lewis,et al.  Cooperative Output Regulation of Heterogeneous Linear Multi-Agent Networks via ${H_{\infty }}$ Performance Allocation , 2019, IEEE Transactions on Automatic Control.

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

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

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

[22]  Peijun Wang,et al.  Consensus Disturbance Rejection for Linear Multiagent Systems With Directed Switching Communication Topologies , 2020, IEEE Transactions on Control of Network Systems.

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

[24]  Meirong Zhang,et al.  Solvability conditions and design for H∞ & H2 almost state synchronization of homogeneous multi-agent systems , 2019, Eur. J. Control.

[25]  Ali Saberi,et al.  Homogeneous networks of non-introspective agents under external disturbances - H∞ almost synchronization , 2015, Autom..

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

[27]  Ali Saberi,et al.  H2 and H∞ almost disturbance decoupling problem with internal stability , 1996 .

[28]  Khashayar Khorasani,et al.  $H_{\infty}$ Consensus Achievement of Multi-Agent Systems With Directed and Switching Topology Networks , 2014, IEEE Transactions on Automatic Control.

[29]  Meirong Zhang,et al.  ${\cal H}_{\infty}$ Almost Output Synchronization for Heterogeneous Networks Without Exchange of Controller States , 2015, IEEE Transactions on Control of Network Systems.

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

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

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

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

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

[35]  Thor I. Fossen,et al.  H∞ almost output synchronization for heterogeneous networks of introspective agents under external disturbances , 2014, Autom..