Please wait a minute...
Chin. Phys. B, 2025, Vol. 34(10): 100503    DOI: 10.1088/1674-1056/addaa5
GENERAL Prev   Next  

Observer-based prescribed-time time-varying output formation-containment control of heterogeneous multi-agent systems

Haiyang Hu(胡海洋)1, Tao Li(李涛)1,†, Xiaowen Zhao(赵小文)2, Yuanmei Wang(王圆妹)3, Jialong Tian(田家龙)1, and Zijie Jiang(姜子杰)1
1 School of Electrical Engineering and Automation, Hubei Normal University, Huangshi 435002, China;
2 School of Mathematics, Hefei University of Technology, Hefei 230009, China;
3 School of Electronic Information and Electrical Engineering, Yangtze University, Jingzhou 434023, China
Abstract  This paper investigates the observer-based prescribed-time time-varying output formation-containment (PT-TV-OFC) control problem for heterogeneous multi-agent systems in which the different agents have different state dimensions. The system comprises one tracking leader, multiple formation leaders, and followers, where two types of leaders are used to generate a reference trajectory for movement and achieve specific formation, respectively. Firstly, a prescribed-time dynamics observer is constructed for the formation leaders to estimate the tracking leader's dynamic model and state. On this basis, a prescribed-time control protocol is designed for the formation leaders to achieve time-varying output formation. Then, a prescribed-time convex hull observer is designed for the followers to estimate information regarding the convex hull formed by the formation leaders. Using the estimated convex hull information, a prescribed-time containment control protocol is designed to ensure the followers converge into the convex hull. Furthermore, using Lyapunov stability theory, the stability of systems is proved in detail, which implies that the heterogeneous multi-agent systems can achieve PT-TV-OFC control. Finally, numerical simulations validate the feasibility of the theoretical results.
Keywords:  heterogeneous multi-agent systems      prescribed-time control      observers      time-varying output formation-containment control  
Received:  11 April 2025      Revised:  12 May 2025      Accepted manuscript online:  20 May 2025
PACS:  05.65.+b (Self-organized systems)  
  02.30.Yy (Control theory)  
  89.75.-k (Complex systems)  
  07.05.Dz (Control systems)  
Fund: Project supported in part by the National Natural Science Foundation of China (Grant Nos. 62473135 and 62173121).
Corresponding Authors:  Tao Li     E-mail:  taohust2008@163.com

Cite this article: 

Haiyang Hu(胡海洋), Tao Li(李涛), Xiaowen Zhao(赵小文), Yuanmei Wang(王圆妹), Jialong Tian(田家龙), and Zijie Jiang(姜子杰) Observer-based prescribed-time time-varying output formation-containment control of heterogeneous multi-agent systems 2025 Chin. Phys. B 34 100503

[1] Li Z K, Duan Z S and Lewis F L 2014 Automatica 50 883
[2] Lu A Y and Yang G H 2018 Inf. Sci. 439 95
[3] Cai H, Lewis F L, Hu G and Huang J 2017 Automatica 75 299
[4] Wang Z, He M, Zheng T, Fan Z L and Liu G B 2017 IEEE/CAA J. Autom. Sin. 5 181
[5] Zhang X J and Wu X 2024 Chin. Phys. B 33 070204
[6] Wu X S, Sun F L, Zhu W and Kurths J 2023 Chin. Phys. B 32 070701
[7] Xiao F, Wang L, Chen J and Gao Y P 2009 Automatica 45 2605
[8] Xue D, Yao J, Chen G R and Yu Y L 2010 IET Control Theory Appl. 4 2168
[9] Mondal A, Behera L, Sahoo S R and Shukla A 2017 IEEE/CAA J. Autom. Sin. 4 558
[10] Ge X H and Han Q L 2017 IEEE Trans. Ind. Electron. 64 8118
[11] Li T, Li S H, Wang Y M, Hui Y W and Han J 2024 Electronics 13 696
[12] Zhao X W, Wang J Y, Lai Q and Liu Y 2023 Chin. Phys. B 32 120502
[13] Ma L, Min H B, Wang S C, Liu Y and Liu Z G 2016 IEEE/CAA J. Autom. Sin. 5 232
[14] LiuWH, Yang C J, Sun Y X and Qin J X 2017 Int. J. Syst. Sci. 48 1217
[15] Li Z K, Ren W, Liu X D and Fu M Y 2013 Int. J. Robust Nonlinear Control. 23 534
[16] Liu H Y, Xie G and Wang L 2012 Automatica 48 1415
[17] Zuo S, Song Y, Lewis F L and Davoudi A 2018 IEEE Trans. Control Netw. Syst. 6 537
[18] Dong X, Li Q, Ren Z and Zhong Y S 2016 J. Franklin Inst. 353 322
[19] Chen L M, Li C J, Guo Y N, Ma G, Li Y N and Xiao B 2022 ISA Trans. 128 32
[20] Han L, Dong X W, Li Q D and Ren Z 2016 Neurocomputing 218 439
[21] Gao Z Y, Zhang H G, Wang Y C and Mu Y F 2021 Inf. Sci. 567 146
[22] Hua Y Z, Dong XW, Han L, Li Q D and Ren Z 2018 Syst. Control Lett. 122 67
[23] Zhang X Y, Wu J, Zhan X S, Han T and Yan H 2022 IEEE Trans. Syst. Man Cybern. Syst. 53 1479
[24] Zhang X Y, Zhan X S, Wu J and Han T 2024 Neurocomputing 608 128382
[25] Shi Y, Hua Y Z, Yu J L, Dong X W, Lü J H and Ren Z 2024 IEEE Trans. Netw. Sci. Eng. 11 3678
[26] Jiang W, Wen G G, Peng Z X, Huang T W and Rahmani A 2018 IEEE Trans. Autom. Control 64 3889
[27] Cheng J, Wu J, Zhan X S, Han B and Wu B 2024 Asian J. Control 26 2991
[28] Han C L, Qin K Y, Shi M J, Liu Y, Li W H and Lin B X 2024 Appl. Math. Comput. 469 128550
[29] Cai H and Huang J 2015 IEEE Trans. Autom. Control 61 3152
[30] Duan J, Duan G C, Cheng S, Cao S X and Wang G 2023 ISA Trans. 137 210
[31] Bhat S P and Bernstein D S 2000 SIAM J. Control Optim. 38 751
[32] Ji L H, Lv D, Yang S S, Guo X and Li H Q 2022 Nonlinear Dyn. 108 2323
[33] Shi Y P and Hu J P 2024 IEEE Trans. Circuits Syst. II Express Briefs 71 4211
[34] Zhang D, Chen H L, Lu Q, Deng C and Feng G 2025 Automatica 173 112062
[35] Zhang H G, Duan J,Wang Y C and Gao Z Y 2019 IEEE Trans. Cybern. 51 548
[36] Zuo Z Y, Han Q L and Ning B D 2019 Fixed-time cooperative control of multi-agent systems (Switzerland: Springer) pp. 11-36
[37] Ke J, Huang W C, Wang J Y and Zeng J O 2022 ISA Trans. 119 135
[38] Song Y D, Wang Y J, Holloway J and Krstic M 2017 Automatica 83 243
[39] Ding T F, Ge M F, Xiong C H, Liu Z W and Ling G 2023 Automatica 152 110997
[40] Wen G H, Zhao Y, Duan Z H, YuWWand Chen G R 2015 IEEE Trans. Autom. Control 61 1135
[41] Zhang H W, Li Z K, Qu Z H and Lewis F L 2015 Automatica 58 39
[1] Consensus of heterogeneous multi-agent systems based on sampled data with a small sampling delay
Wang Na (王娜), Wu Zhi-Hai (吴治海), Peng Li (彭力). Chin. Phys. B, 2014, 23(10): 108901.
[2] Output regulation for linear multi-agent systems with unmeasurable nodes
Liang Hong-Jing (梁洪晶), Zhang Hua-Guang (张化光), Wang Zhan-Shan (王占山), Wang Jun-Yi (王军义). Chin. Phys. B, 2014, 23(1): 018902.
[3] Consensus pursuit of heterogeneous multi-agent systems under a directed acyclic graph
Yan Jing(闫敬), Guan Xin-Ping(关新平), and Luo Xiao-Yuan(罗小元) . Chin. Phys. B, 2011, 20(4): 048901.
[4] $H_{\infty}$ tracking control of coupled spatiotemporal chaos with parametric uncertainties based on fuzzy observers
Dou Chun-Xia (窦春霞), Zhang Shu-Qing (张淑清). Chin. Phys. B, 2005, 14(5): 902-907.
No Suggested Reading articles found!