Output formation-containment of interacted heterogeneous linear systems by distributed hybrid active control

Abstract This paper investigates the output formation-containment problem of interacted heterogeneous linear systems, where each heterogeneous system, whether the leader or the follower, has different dimensions and dynamics. Different from existing literature, discrete-time communication manner is deployed to reduce the communication consumption. By the impulsive control method, a distributed hybrid active controller is designed using the discrete-time information of neighbors. It achieves the output formation-containment of heterogeneous systems if two related conditions are satisfied, namely, local linear matrix inequalities (LMIs) and a bounded constraint on the average interacted interval. Moreover, the controller parameter design is further simplified by replacing the LMI condition with a Hurwitz condition, which can be easily guaranteed by solving a Riccati equation. Finally, a numerical example is provided to demonstrate the effectiveness of the theoretical result.

[1]  James Lam,et al.  Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control: Error estimation, optimization and design , 2015, Autom..

[2]  Wei Xing Zheng,et al.  Delayed Impulsive Control of Takagi–Sugeno Fuzzy Delay Systems , 2013, IEEE Transactions on Fuzzy Systems.

[3]  Lixin Gao,et al.  Distributed adaptive containment control of heterogeneous linear multi-agent systems: an output regulation approach , 2016 .

[4]  Jinde Cao,et al.  Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy , 2012, IEEE Transactions on Neural Networks and Learning Systems.

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

[6]  Andrew M Simons,et al.  Many wrongs: the advantage of group navigation. , 2004, Trends in ecology & evolution.

[7]  Giancarlo Ferrari-Trecate,et al.  Containment Control in Mobile Networks , 2008, IEEE Transactions on Automatic Control.

[8]  Guanghui Wen,et al.  Distributed consensus of multi‐agent systems with general linear node dynamics and intermittent communications , 2014 .

[9]  Ricardo G. Sanfelice,et al.  On Distributed Observers for Linear Time-invariant Systems Under Intermittent Information Constraints , 2016 .

[10]  Jie Huang,et al.  Cooperative Output Regulation of Linear Multi-Agent Systems , 2012, IEEE Transactions on Automatic Control.

[11]  Jiang-Wen Xiao,et al.  Distributed hierarchical control design of coupled heterogeneous linear systems under switching networks , 2017 .

[12]  Jie Huang,et al.  Cooperative output regulation of linear multi-agent systems by output feedback , 2012, Syst. Control. Lett..

[13]  Mohammad Ali Badamchizadeh,et al.  Containment control of heterogeneous linear multi-agent systems , 2015, Autom..

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

[15]  Xinghuo Yu,et al.  Asynchronous impulsive containment control in switched multi-agent systems , 2016, Inf. Sci..

[16]  Yisheng Zhong,et al.  Output containment control for swarm systems with general linear dynamics: A dynamic output feedback approach , 2014, Syst. Control. Lett..

[17]  Ziyang Meng,et al.  Coordinated output regulation of heterogeneous linear systems under switching topologies , 2014, Autom..

[18]  Yan-Wu Wang,et al.  Output formation-containment of coupled heterogeneous linear systems under intermittent communication , 2017, J. Frankl. Inst..

[19]  Long Wang,et al.  Containment control of heterogeneous multi-agent systems , 2014, Int. J. Control.

[20]  Jinde Cao,et al.  A unified synchronization criterion for impulsive dynamical networks , 2010, Autom..

[21]  Jie Huang,et al.  Nonlinear Output Regulation: Theory and Applications , 2004 .

[22]  Jinde Cao,et al.  Impulsive synchronization of coupled dynamical networks with nonidentical Duffing oscillators and coupling delays. , 2012, Chaos.

[23]  Ricardo G. Sanfelice,et al.  A Hybrid Consensus Protocol for Pointwise Exponential Stability with Intermittent Information , 2016 .

[24]  Guoqiang Hu,et al.  Time-varying formation control for general linear multi-agent systems with switching directed topologies , 2016, Autom..

[25]  Wei Zhang,et al.  Flocking of partially-informed multi-agent systems avoiding obstacles with arbitrary shape , 2014, Autonomous Agents and Multi-Agent Systems.

[26]  Lihua Xie,et al.  Containment control of leader-following multi-agent systems with Markovian switching network topologies and measurement noises , 2015, Autom..

[27]  Ziyang Meng,et al.  Distributed finite-time attitude containment control for multiple rigid bodies , 2010, Autom..

[28]  Ljupco Kocarev,et al.  Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems , 2016, IEEE Transactions on Industrial Electronics.

[29]  Gang Feng,et al.  Impulsive consensus algorithms for second-order multi-agent networks with sampled information , 2012, Autom..

[30]  Lorenzo Marconi,et al.  Internal Model Principle for Linear Systems With Periodic State Jumps , 2013, IEEE Transactions on Automatic Control.