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Chin. Phys. B, 2019, Vol. 28(1): 010703    DOI: 10.1088/1674-1056/28/1/010703
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H couple-group consensus of stochastic multi-agent systems with fixed and Markovian switching communication topologies

Muyun Fang(方木云)1, Cancan Zhou(周灿灿)1, Xin Huang(黄鑫)1, Xiao Li(李晓)2, Jianping Zhou(周建平)1
1 School of Computer Science and Technology, Anhui University of Technology, Ma'anshan 243032, China;
2 School of Computer Science and Technology, Huaibei Normal University, Huaibei 235000, China
Abstract  

The paper addresses the issue of H couple-group consensus for a class of discrete-time stochastic multi-agent systems via output-feedback control. Both fixed and Markovian switching communication topologies are considered. By employing linear transformations, the closed-loop systems are converted into reduced-order systems and the H couple-group consensus issue under consideration is changed into a stochastic H control problem. New conditions for the mean-square asymptotic stability and H performance of the reduced-order systems are proposed. On the basis of these conditions, constructive approaches for the design of the output-feedback control protocols are developed for the fixed communication topology and the Markovian switching communication topologies, respectively. Finally, two numerical examples are given to illustrate the applicability of the present design approaches.

Keywords:  multi-agent system      couple-group consensus      output feedback control      switching topologies  
Received:  28 September 2018      Revised:  10 November 2018      Accepted manuscript online: 
PACS:  07.05.Dz (Control systems)  
  05.10.-a (Computational methods in statistical physics and nonlinear dynamics)  
Fund: 

Project supported by the National Natural Science Foundation of China (Grant Nos. 61503002 and 61573008).

Corresponding Authors:  Jianping Zhou     E-mail:  jpzhou0@gmail.com

Cite this article: 

Muyun Fang(方木云), Cancan Zhou(周灿灿), Xin Huang(黄鑫), Xiao Li(李晓), Jianping Zhou(周建平) H couple-group consensus of stochastic multi-agent systems with fixed and Markovian switching communication topologies 2019 Chin. Phys. B 28 010703

[1] Khazaei J and Nguyen D H 2017 IEEE Trans. Smart Grid
[2] Peng Z, Wen G, Yang S and Rahmani A 2016 Nonlinear Dyn. 86 605
[3] Yu W, Chen G, Wang Z and Yang W 2009 IEEE Trans. Syst. Man Cybern. B 39 1568
[4] Yan Z, Liu Y, Zhou J, Zhang W and Wang L 2017 Chin. Phys. B 26 040203
[5] Hong Y, Hu J and Gao L 2016 Automatica 42 1177
[6] Ren W 2010 IEEE Trans. Control Syst. Technol. 18 230
[7] Olfati-Saber R and Murray R M 2002 IEEE Trans. Automat. Control, 49 1520
[8] Qin J, Ma Q, Shi Y and Wang L 2017 IEEE Trans. Ind. Electron. 64 4972
[9] Yuan D, Ho D W C and Jiang G 2017 IEEE Trans. Cybern.
[10] Wang J, Su L, Shen H, Wu Z and Park J 2017 J. Franklin Inst. 354 1302
[11] Shahamatkhah E and Tabatabaei M 2018 Chin. Phys. B 27 010701
[12] Jin X, Wang S, Qin J, Zheng W and Kang Y 2018 IEEE Trans. Circuits Syst. I. Regul. Pap. 65 2243
[13] Li X, Zhou C, Zhou J, Wang Z and Xia J 2018 Int. J. Control Autom. Syst. in press
[14] Wang Y, Tu L, Song S and Li K 2018 Acta Phys. Sin. 67 050504 (in Chinese)
[15] Xie D, Zhang S and Xie J 2018 Physica A 509 1195
[16] Lu X, Francis A and Chen S 2010 Chin. Phys. B 19 120506
[17] Ma Q, Wang Z and Miao G 2014 J. Franklin Inst. 351 1288
[18] Liao X and Ji L 2014 Neurocomputing 135 262
[19] Feng Y and Zheng W 2018 IET Control Theory Appl. 12 753
[20] Zhao H and Park J 2014 Nonlinear Dyn. 77 1297
[21] Shang Y 2015 J. Franklin Inst. 352 4826
[22] Xie D, Shi L and Jiang F 2017 Neurocomputing 281 37
[23] Liu Y and Jia Y 2010 Int. J. Control 83 527
[24] Qin J, Ma Q, Zheng W, Gao H and Kang Y 2017 IEEE Trans. Automat. Contr. 62 3559
[25] Stoorvogel A 1992 The H∞ Control Problem: A State Space Approach (New York: Prentice Hall)
[26] Wang P and Jia Y 2016 Int. J. Syst. Sci. 47 1073
[27] Cui Y, Fei M and Du D 2016 IET Gener. Transm. Dis. 10 2565
[28] Liang H, Zhang H, Wang Z and Wang J 2014 Chin. Phys. B 23 018902
[29] Zhou J, Park J and Ma Q 2016 Appl. Math. Comput. 291 69
[30] Mao X 1999 Stoch. Process. Their App. l79 45
[31] Xu S, Lam J and Chen T 2004 Syst. Control. Lett. 51 203
[32] Lin P, Jia Y and Li L 2008 Syst. Control. Lett. 57 643
[33] Zhou J, Sang C, Li X, Fang M and Wang Z 2018 Appl. Math. Comput. 325 41
[34] Chang X, Yang C and Xiong J 2018 IEEE Trans. Syst. Man Cybern. Syst.
[35] Li S, Yang L and Li K 2015 Chin. Phys. B 24 010503
[36] Ma Q, Xu S, Lewis F L, Zhang B and Zou Y 2016 IEEE trans. Cybern. 46 1471
[37] Yan Z, Sang C, Fang M and Zhou J 2018 Trans. Inst. Meas. Control
[38] Xia J, Zhang J, Sun W, Zhang B and Wang Z 2018 IEEE Trans. Syst. Man Cybern. Syst.
[39] Wang Z, Shen L, Xia J, Shen H and Wang J 2018 J. Franklin Inst. 355 6371
[40] Shen H, Li F, Yan H, Karimi H R and Lam H K 2017 IEEE Trans. Fuzzy Syst.
[41] Song X, Wang M, Song S and Tejado 2018 IEEE Access 6 50066
[42] Zhuang G, Li Y and Li Z 2014 Int J. Syst. Sci. 47 1514
[43] Liu Y, Guo B, Park J and Lee S 2018 IEEE Trans. Fuzzy Syst. 26 2089
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