Volume 38 Issue 3
Sep.  2024
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ZHANG Pengyu, ZHANG Wei, HU Zhi. Positive edge consensus of multiagent systems on directed graphs[J]. Journal of Shanghai University of Engineering Science, 2024, 38(3): 321-327. doi: 10.12299/jsues.23-0197
Citation: ZHANG Pengyu, ZHANG Wei, HU Zhi. Positive edge consensus of multiagent systems on directed graphs[J]. Journal of Shanghai University of Engineering Science, 2024, 38(3): 321-327. doi: 10.12299/jsues.23-0197

Positive edge consensus of multiagent systems on directed graphs

doi: 10.12299/jsues.23-0197
  • Received Date: 2023-09-15
    Available Online: 2024-11-14
  • Publish Date: 2024-09-30
  • Most of the existing literature on the problem of positive edge consensus of multi-agent systems has mainly focused on undirected graphs or strongly connected directed graphs. To extend it to the directed networks containing spanning trees, since the Laplacian matrix of a directed network containing spanning trees may be complex, its analysis may become very difficult. Using positive system theory and graph theory, the necessary and sufficient conditions for edge system to achieve positive consensus under a directed network containing spanning trees were given. The results were further optimized by improving the bounds on the eigenvalues of the Laplace matrix, sufficient conditions involving only the number of edge number of the nodal network were obtained. Riccati inequality was solved and a semidefinite programming algorithm was developed to obtain the solution. Finally, the validity of the obtained results was verified by numerical simulation.
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  • [1]
    MU C, NI Z, SUN C, et al. Air-breathing hypersonic vehicle tracking control based on adaptive dynamic programming[J] . IEEE Transactions on Neural Networks and Learning Systems,2017,28(3):584 − 598. doi: 10.1109/TNNLS.2016.2516948
    [2]
    SU H S, WANG X F, LIN Z L. Flocking of multi-agents with a virtual leader[J] . IEEE Transactions on Automatic Control,2009,54(2):293 − 307. doi: 10.1109/TAC.2008.2010897
    [3]
    SU H S, ZHANG J X, CHEN X A. Stochastic sampling mechanism for time-varying formation of multiagent systems with multiple leaders and communication delays[J] . IEEE Transactions on Neural Networks and Learning Systems,2019,30(12):3699 − 3707. doi: 10.1109/TNNLS.2019.2891259
    [4]
    WU Y Q, LU R L, LI H Y, et al. Synchronization control for network systems with communication constraints[J] . IEEE Transactions on Neural Networks and Learning Systems,2019,30(10):3150 − 3160. doi: 10.1109/TNNLS.2018.2885873
    [5]
    YAN C H, ZHANG W, SU H S, et al. Adaptive bipartite time varying output formation control for multi-agent systems on signed directed graphs[J] . IEEE Transactions on Circuits and Systems II:Express Briefs,2022,52(9):8987 − 9000.
    [6]
    LI M, ZHANG W, YAN C H, et al. Observer-based bipartite formation control for MASs with external disturbances under event-triggered scheme[J] . IEEE Transactions on Circuits and Systems II:Express Briefs,2022,69(3):1178 − 1182.
    [7]
    JIANG P W, ZHANG W, YAN C H, et al. Fully distributed event-triggered bipartite output formation control for heterogeneous mass with directed graphs[J] . IEEE Transactions on Circuits and Systems II:Express Briefs,2023,7(60):2072 − 2076.
    [8]
    VALCHER M E, ZORZAN I. On the consensus of homogeneous multiagent systems with positivity constraints[J] . IEEE Transactions on Automatic Control,2017,62(10):5096 − 5110. doi: 10.1109/TAC.2017.2691305
    [9]
    VALCHER M E, ZORZAN I. New results on the solution of the positive consensus problem[C]//Proceedings of IEEE 55th Conference on Decision and Control. Las Vegas: IEEE, 2016: 5251 – 5256.
    [10]
    WANG X L, SU H S, MICHAEL Z Q, et al. Reaching non-negative edge consensus of networked dynamical systems[J] . IEEE Transactions on Cybernetics,2018,48(9):2712 − 2722. doi: 10.1109/TCYB.2017.2748990
    [11]
    LIU J J R, LAM J, KWOK K W. Further improvements on non-negative edge consensus of networked systems[J] . IEEE Transactions on Cybernetics,2022,52(9):9111 − 9119. doi: 10.1109/TCYB.2021.3052833
    [12]
    SU H S, WU H, CHEN X, et al. Positive edge consensus of complex networks[J] . IEEE Transactions on Systems, Man, and Cybernetics:Systems,2018,48(12):2242 − 2250. doi: 10.1109/TSMC.2017.2765678
    [13]
    SU H S, WU H, LAM J. Positive edge-consensus for nodal networks via output feedback[J] . IEEE Transactions on Automatic Control,2019,64(3):1244 − 1249. doi: 10.1109/TAC.2018.2845694
    [14]
    QIAN Y C, ZHANG W, JI M M, et al. Observer-based positive edge consensus for directed nodal networks[J] . IET Control Theory Applications,2020,14(2):352 − 357. doi: 10.1049/iet-cta.2019.0945
    [15]
    CHEN C T. Linear system theory and design[M]. Oxford: Oxford University Press, 1998.
    [16]
    OLFATI-SABER R, FAX J A, MURRAY R M. Consensus and cooperation in networked multi-agent systems[J] . Proceedings of the IEEE,2007,95:215 − 233. doi: 10.1109/JPROC.2006.887293
    [17]
    LIU J J R, KWOK K W, CUI Y K, et al. Consensus of positive networked systems on directed graphs[J] . IEEE Transactions on Neural Networks and Learning Systems,2022,33(9):4575 − 4583. doi: 10.1109/TNNLS.2021.3058184
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