Open Access
| Issue |
Int. J. Metrol. Qual. Eng.
Volume 17, 2026
|
|
|---|---|---|
| Article Number | 6 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/ijmqe/2025003 | |
| Published online | 03 April 2026 | |
- S. Hirche et al., Distributed control for cooperative manipulation with event-triggered communication, IEEE Trans. Robot. 36, 1038–1052 (2020) [Google Scholar]
- J. Franko, S. Du, S. Kallweit et al., Design of a multi-robot system for wind turbine maintenance, Energies 13, 2552 (2020) [Google Scholar]
- C. Su, S. Zhang, S. Lou et al., Trajectory coordination for a cooperative multi-manipulator system and dynamic simulation error analysis, Robot. Auton. Syst. 131, 103588 (2020) [Google Scholar]
- H. Hu, X. Yang, S. Xiao et al., Anti-conflict AGV path planning in automated container terminals based on multi-agent reinforcement learning, Int. J. Prod. Res. 61, 65–80 (2023) [Google Scholar]
- F. Zong, Z. He, M. Zeng et al., Dynamic lane changing trajectory planning for CAV: a multi-agent model with path preplanning, Transportmetr. B: Transport Dyn. 10, 266–292 (2022) [Google Scholar]
- Z. Xia, J. Du, J. Wang et al., Multi-agent reinforcement learning aided intelligent UAV swarm for target tracking, IEEE Trans. Vehicular Technol. 71, 931–945 (2021) [Google Scholar]
- L. Zhao, J. Yu, Q.G. Wang, Adaptive finite-time containment control of uncertain multiple manipulator systems, IEEE Trans. Cybern. 52, 556–567 (2020) [Google Scholar]
- R. Cao, L. Cheng, Distributed dynamic event-triggered control for Euler-Lagrange multiagent systems with parametric uncertainties, IEEE Trans. Cybern. 53, 1272–1284 (2023) [Google Scholar]
- Y. Zhang, Y. Jiang, W. Zhang et al., Distributed coordinated tracking control for multi-manipulator systems under intermittent communications, Nonlinear Dyn. 107, 3573–3591 (2022) [Google Scholar]
- M. Saboia, L. Clark, V. Thangavelu et al., Achord: Communication-aware multi-robot coordination with intermittent connectivity, IEEE Robot. Autom. Lett. 7, 10184–10191 (2022) [Google Scholar]
- P. Wang, Q. He, H. Su, Stabilization of discrete-time stochastic delayed neural networks by intermittent control, IEEE Trans. Cybern. 53, 2017–2027 (2023) [Google Scholar]
- F. Wang, Z. Liu, Z. Chen, Sampled-hold-based consensus control for second-order multiagent systems under aperiodically intermittent communication, IEEE Trans. Circ. Syst. I: Regular Papers 69, 3794–3803 (2022) [Google Scholar]
- Y. Guo, Y. Qian, P. Wang, Leader-following consensus of delayed multi-agent systems with aperiodically intermittent communications, Neurocomputing 466, 49–57 (2021) [Google Scholar]
- A. Abdessameud, I.G. Polushin, A. Tayebi, Synchronization of heterogeneous Euler-Lagrange systems with time delays and intermittent information exchange, IFAC Proc. 47, 1971–1976 (2014) [Google Scholar]
- Y. Cao, W. Yu, W. Ren et al., An overview of recent progress in the study of distributed multi-agent coordination, IEEE Trans. Ind. Inform. 9, 427–438 (2012) [Google Scholar]
- J. Qin, Q. Ma, Y. Shi et al., Recent advances in consensus of multi-agent systems: a brief survey, IEEE Trans. Ind. Electron. 64, 4972–4983 (2016) [Google Scholar]
- Y. Wu, J. Hu, L. Xiang et al., Finite-time output regulation of linear heterogeneous multi-agent systems, IEEE Trans. Circuits Syst. II: Exp. Briefs 69, 1248–1252 (2021) [Google Scholar]
- Y. Wu, J. Hu, L. Xiang et al., Finite-time consensus for linear multiagent systems via event-triggered strategy without continuous communication, IEEE Trans. Circ. Syst. II: Express Briefs 7, 19–29 (2019) [Google Scholar]
- H. Hong, W. Yu, J. Fu et al., Finite-time connectivity-preserving consensus for second-order nonlinear multiagent systems, IEEE Trans. Control Netw. Syst. 6, 236–248 (2018) [Google Scholar]
- T. Jing, D. Zhang, T. Jing, Finite-time synchronization of hybrid-coupled delayed dynamic networks via aperiodically intermittent control, Neural Process. Lett. 52, 291–311 (2020) [Google Scholar]
- S. Tong, H. Zhou, Finite-time adaptive fuzzy event-triggered output-feedback containment control for nonlinear multiagent systems with input saturation, IEEE Trans. Fuzzy Syst. 31, 3135–3147 (2023) [Google Scholar]
- N. Xuan-Mung, M. Golestani, Smooth, singularity-free, finite-time tracking control for Euler-Lagrange systems, Mathematics 10, 3850 (2022) [Google Scholar]
- H.X. Hu, G. Wen, W. Yu et al., Finite-time coordination behavior of multiple Euler-Lagrange systems in cooperation-competition networks, IEEE Trans. Cybern. 49, 2967–2979 (2019) [Google Scholar]
- M. Van, S. Sam Ge, D. Ceglarek, Global finite-time cooperative control for multiple manipulators using integral sliding mode control, Asian J. Control 24, 2862–2876 (2022) [Google Scholar]
- A.J. Critchlow, Introduction to Robotics (MacMillan Press Ltd., London, 1985) [Google Scholar]
- R.A. Horn, C.R. Johnson, Matrix Analysis (Cambridge University Press, Cambridge, 1985) [Google Scholar]
- H. Zhang, Z. Li, Z. Qu et al., On constructing Lyapunov functions for multi-agent systems, Automatica 58, 39–42 (2015) [Google Scholar]
- X. Liu, T. Chen, Synchronization of linearly coupled networks with delays via aperiodically intermittent pinning control, IEEE Trans. Neural Netw. Learn. Syst. 26, 2396–2407 (2015) [Google Scholar]
- Y. Wu, Z. Sun, G. Ran et al., Intermittent control for fixed-time synchronization of coupled networks, IEEE-CAA J. Autom. Sin. 10, 1488–1490 (2023) [Google Scholar]
- J. Mei, M. Jiang, W. Xu et al., Finite-time synchronization control of complex dynamical networks with time delay, Commun. Nonlinear Sci. Numer. Simul. 18, 2462–2478 (2013) [Google Scholar]
- L. Cheng, F. Tang, X. Shi et al., Finite-time and fixed-time synchronization of delayed memristive neural networks via adaptive aperiodically intermittent adjustment strategy, IEEE Trans. Neural Netw. Learn. Syst. 34, 8516–8530 (2023) [Google Scholar]
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