Control of multi-agent systems with input delay via PDE-based method

This paper deals with the control of collective dynamics of a large scale multi-agent system (MAS) moving in a 3-D space under the occurrence of arbitrarily large boundary input delay. The collective dynamics is described by a pair of reaction–advection–diffusion partial differential equations (PDEs) consisting of a complex-valued state whose real-part and imaginary-part denote the position coordinates x and y, respectively, and a real-valued state equation governing the evolution of the collective dynamics in the z coordinate. A 2-D cylindrical surface represents the indexes in a continuum and defines the topology where the agents communicate with each other based on a leader–follower strategy. The agents located at the boundary are chosen as the leaders and are subject to input delays that are practically induced by communication, measurement or even actuator constraints. A boundary control, which compensates the effect of the delay and drives all the agents to the desired formation is designed based on PDE-backstepping method. Here, the 2-D cylindrical coordinate leads to the existence of singular points in the gain kernels, which makes the stability analysis non-trivial in comparison to the 1-D problem. The proposed controller ensures the exponential stability of the MAS in H2 norm under full-state measurement and transitions from one formation to another are achievable as illustrated by the simulation results.

[1]  Yu-Ping Tian,et al.  Consensus of Multi-Agent Systems With Diverse Input and Communication Delays , 2008, IEEE Transactions on Automatic Control.

[2]  Miroslav Krstic,et al.  Lyapunov tools for predictor feedbacks for delay systems: Inverse optimality and robustness to delay mismatch , 2008, 2008 American Control Conference.

[3]  Miroslav Krstic,et al.  Leader-Enabled Deployment Onto Planar Curves: A PDE-Based Approach , 2011, IEEE Transactions on Automatic Control.

[4]  Housheng Su,et al.  Second-order consensus of multiple agents with coupling delay , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[5]  Jean-Jacques E. Slotine,et al.  Contraction analysis of time-delayed communications and group cooperation , 2006, IEEE Transactions on Automatic Control.

[6]  Miroslav Krstic,et al.  Finite-time multi-agent deployment: A nonlinear PDE motion planning approach , 2011, Autom..

[7]  Jiangping Hu,et al.  Leader-following coordination of multi-agent systems with coupling time delays , 2007, 0705.0401.

[8]  Paul A. Beardsley,et al.  Collision avoidance for aerial vehicles in multi-agent scenarios , 2015, Auton. Robots.

[9]  Ming Xin,et al.  Integrated Optimal Formation Control of Multiple Unmanned Aerial Vehicles , 2012, IEEE Transactions on Control Systems Technology.

[10]  Zhong-Ping Jiang,et al.  Event-Based Leader-following Consensus of Multi-Agent Systems with Input Time Delay , 2015, IEEE Transactions on Automatic Control.

[11]  Chuan Wang,et al.  Parabolic PDE-based multi-agent formation control on a cylindrical surface , 2019, Int. J. Control.

[12]  Miroslav Krstic,et al.  Control of an unstable reaction-diffusion PDE with long input delay , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[13]  M. Krstić Boundary Control of PDEs: A Course on Backstepping Designs , 2008 .

[14]  M. Spong,et al.  Agreement with non-uniform information delays , 2006, 2006 American Control Conference.

[15]  Bin Zhou,et al.  Consensus of high-order multi-agent systems with large input and communication delays , 2014, at - Automatisierungstechnik.

[16]  Ross Wainwright,et al.  Commanding And Controlling Satellite Clusters , 2000, IEEE Intell. Syst..

[17]  Giancarlo Ferrari-Trecate,et al.  Analysis of coordination in multi-agent systems through partial difference equations , 2006, IEEE Transactions on Automatic Control.

[18]  Guoqiang Hu,et al.  Adaptive Vision-Based Leader–Follower Formation Control of Mobile Robots , 2017, IEEE Transactions on Industrial Electronics.

[19]  Yury Orlov,et al.  Consensus-Based Control for a Network of Diffusion PDEs With Boundary Local Interaction , 2015, IEEE Transactions on Automatic Control.

[20]  Jing Zhang,et al.  Formation tracking control for multi-agent systems: A wave-equation based approach , 2017, International Journal of Control, Automation and Systems.

[21]  Miroslav Krstic,et al.  Explicit output-feedback boundary control of reaction-diffusion PDEs on arbitrary-dimensional balls , 2016 .

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

[23]  Miroslav Krstic,et al.  Multi-Agent Deployment in 3-D via PDE Control , 2015, IEEE Transactions on Automatic Control.

[24]  Jie Qi,et al.  Control of 2-D reaction-advection-diffusion PDE with input delay , 2017, 2017 Chinese Automation Congress (CAC).

[25]  Wei Ren,et al.  Constrained Consensus in Unbalanced Networks With Communication Delays , 2014, IEEE Transactions on Automatic Control.

[26]  Emilia Fridman,et al.  A refined input delay approach to sampled-data control , 2010, Autom..

[27]  H. Brezis Functional Analysis, Sobolev Spaces and Partial Differential Equations , 2010 .