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Articles

Decentralised adaptive synchronisation of a class of discrete-time and nonlinearly parametrised coupled multi-agent systems

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Pages 461-475 | Received 13 Dec 2017, Accepted 17 Mar 2019, Published online: 09 Apr 2019

References

  • Bai, L., Chen, F., & Lan, W. Y. (2017). Distributed tracking of a non-minimally rigid formation for multi-agent systems. International Journal of Systems Science, 48(1), 161–170. doi: 10.1080/00207721.2016.1165896
  • Bian, T., & Jiang, Z. P. (2015). Value iteration and adaptive optimal control for linear continuous-time systems. IEEE 7th international conference on cybernetics and intelligent systems (CIS) and IEEE conference on robotics, automation and mechatronics (RAM), Siem Reap (pp. 53–58).
  • Chakraborty, J., Konar, A., Chakraborty, U. K., & Jain, L. C. (2008). Distributed cooperative multi-robot path planning using differential evolution. IEEE congress on evolutionary computation (IEEE world congress on computational intelligence), Hong Kong (pp. 718–725).
  • Chen, L. J., & Narendra, K. S. (2001). Nonlinear adaptive control using neural networks and multiple models. Automatica, 37, 1245–1255. doi: 10.1016/S0005-1098(01)00072-3
  • Das, A., & Lewis, F. L. (2010). Distributed adaptive control for synchronization of unknown nonlinear networked systems. Automatica, 46(12), 2014–2021. doi: 10.1016/j.automatica.2010.08.008
  • Dong, G. H., He, H. G., & Hu, D. W. (2008). A strict inequality on spectral radius of nonnegative matrices and its probabilistic proof. The 27th Chinese control conference, Kunming (pp. 138–140).
  • Dong, X. W., Sun, C., & Hu, G. Q. (2016). Time-varying output formation control for linear multi-agent systems with switching topologies. International Journal of Robust and Nonlinear Control, 26(16), 3558–3579. doi: 10.1002/rnc.3519
  • Gao, Y. P., Ma, J. W., & Jiang, T. Q. (2014). Consensus of first-order multi-agent systems with intermittent interaction. Neurocomputing, 129(4), 273–278. doi: 10.1016/j.neucom.2013.09.031
  • Ge, S. S., Yang, C. G., Li, Y. N., & Tong, H. L. (2009). Decentralized adaptive control of a class of discrete-time multi-agent systems for hidden leader following problem. IEEE/International conference on intelligent robots and systems, St. Louis, MO (pp. 5065–5070).
  • Guo, W. (2016). Leader-following consensus of the second-order multi-agent systems under directed topology. ISA Transactions, 65, 116–124. doi: 10.1016/j.isatra.2016.07.011
  • Han, L., Dong, X. W., Li, Q. D., & Zhang, R. (2016b). Formation-containment control for second-order multi-agent systems with time-varying delays. Neurocomputing, 218, 439–447. doi: 10.1016/j.neucom.2016.09.001
  • Han, J., Zhang, H. G., & Jiang, H. (2016a). Event-based H∞ consensus control for second-order leader-following multi-agent systems. Journal of the Franklin Institute, 353(18), 5081–5098. doi: 10.1016/j.jfranklin.2016.09.025
  • Huang, C. D., & Guo, L. (2012). On feedback capability for a class of semiparametric uncertain systems. Automatica, 48(5), 873–878. doi: 10.1016/j.automatica.2012.02.023
  • Inaki, N., Ezequiel, D. M., & Alcherio, M. (2015). Distributed particle swarm optimization - particle allocation and neighborhood topologies for the learning of cooperative robotic behaviors. International Conference on Intelligent Robots and Systems, Hamburg.
  • Jadbabaie, A., Lin, J., & Morse, A. S. (2003). Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control, 48(9), 1675–1675. doi: 10.1109/TAC.2003.817537
  • Li, Z. K., Liu, X. D., Ren, W., & Xie, L. H. (2013). Distributed tracking control for linear multiagent systems with a leader of bounded unknown input. IEEE Transactions on Automatic Control, 58(2), 518–523. doi: 10.1109/TAC.2012.2208295
  • Li, Z. K., Ren, W., Liu, X. D., & Xie, L. H. (2011). Distributed consensus of linear multi-agent systems with adaptive dynamic protocols. Automatica, 49(7), 1986–1995. doi: 10.1016/j.automatica.2013.03.015
  • Li, Y. M., Tong, S. C., & Li, T. S. (2015). Observer-based adaptive fuzzy tracking control of mimo stochastic nonlinear systems with unknown control directions and unknown dead zones. IEEE Transactions on Fuzzy Systems, 23(4), 1228–1241. doi: 10.1109/TFUZZ.2014.2348017
  • Li, X. J., & Yang, G. H. (2012). Robust adaptive fault-tolerant control for uncertain linear systems with actuator failures. IET Control Theory and Applications, 6(10), 1544–1551. doi: 10.1049/iet-cta.2011.0599
  • Liu, K. X., Wu, L. L., Lv, J. H., & Zhu, H. H. (2016). Finite-time adaptive consensus of a class of multi-agent systems. Science China Technological Sciences, 59(1), 22–32. doi: 10.1007/s11431-015-5989-7
  • Ma, H. B. (2009). Decentralized adaptive synchronization of a stochastic discrete-time multi-agent dynamic model. SIAM Journal of Control and Optimization, 48(2), 859–880. doi: 10.1137/070685610
  • Ma, C. Q., Li, T., & Zhang, J. F. (2010). Consensus control for leader-following multi-agent systems with measurement noises. Journal of Systems Science and Complexity, 23, 35–49. doi: 10.1007/s11424-010-9273-4
  • Ma, H. B., & Wang, M. L. (2010). hλ-order analysis for linear time-varying systems. The 29th Chinese control conference, Beijing (pp. 221–226).
  • Ma, H. B., & Zhang, X. H. (2018). Stabilization of decentralized adaptive control for nonlinearly parametrized coupled stochastic multiagent systems. SIAM Journal on Control and Optimization, 56(5), 3784–3815. doi: 10.1137/17M1131593
  • Miao, G. Y., & Ma, Q. (2015). Group consensus of the first-order multi-agent systems with nonlinear input constraints. Neurocomputing, 161(C), 113–119. doi: 10.1016/j.neucom.2015.02.058
  • Mirzaei, M., Meskin, N., & Abdollahi, F. (2016). Robust distributed consensus of autonomous underwater vehicles in 3d space. International conference on control, decision and information technologies, (CoDIT), St. Julian's (pp. 399–404).
  • Ren, W., Beard, R. W., & Atkins, E. M. (2005). A survey of consensus problems in multi-agent coordination. American control conference, Portland, OR (Vol. 3, pp. 1859–1864).
  • Shi, T., Su, H. Y., & Chu, J. (2013). Reliable h-infinity filtering for linear systems with sensor saturation. Journal of Control Theory and Applications, 11(1), 80–85. doi: 10.1007/s11768-013-1010-9
  • Sokolov, V. F. (2016). Adaptive stabilization of parameter-affine minimum-phase plants under lipschitz uncertainty. Automatica, 73, 64–70. doi: 10.1016/j.automatica.2016.07.020
  • Song, Q., Liu, F., Su, H. S., & Vasilakos, A. V. (2016). Semi-global and global containment control of multi-agent systems with second-order dynamics and input saturation. International Journal of Robust and Nonlinear Control, 26(16), 3460–3480. doi: 10.1002/rnc.3515
  • Vrabie, D., Pastravanu, O., Abu-Khalaf, M., & Lewis, F. L. (2009). Brief paper: Adaptive optimal control for continuous-time linear systems based on policy iteration. Automatica, 45(2), 477–484. doi: 10.1016/j.automatica.2008.08.017
  • Wang, N., Wu, Z. H., & Peng, L. (2013). Sampled-data consensus of first-order multi-agent systems with delayed-state-derivative feedback. The 25th Chinese control and decision conference (CCDC), Guiyang (pp. 1537–1542).
  • Wang, A. P., & Zhao, Y. (2016). Event-triggered consensus control for leader-following multi-agent systems with time-varying delays. Journal of the Franklin Institute, 353(17), 4754–4771. doi: 10.1016/j.jfranklin.2016.08.027
  • Wen, G. X., Chen, C. L. P., Liu, Y. J., & Liu, Z. (2015). Neural-network-based adaptive leader-following consensus control for second-order non-linear multi-agent systems. IET Control Theory and Applications Iet, 9(13), 1927–1934. doi: 10.1049/iet-cta.2014.1319
  • Xie, L. L., & Guo, L. (2000). How much uncertainty can be dealt with by feedback?. IEEE Transactions on Automatic Control, 45(12), 2203–2217. doi: 10.1109/9.895559
  • Yang, H. L., Jiang, B., & Yang, H. (2016). Fault tolerant cooperative control for multiple unmannedaerial vehicle systems with plugging operations. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems Control Engineering, 230(8), 830–839.
  • Yang, Y., & Yue, D. (2016). Distributed adaptive consensus tracking for a class of multi-agent systems via output feedback approach under switching topologies. Neurocomputing, 174, 1125–1132. doi: 10.1016/j.neucom.2015.10.034
  • Zhang, X. H., & Ma, H. B. (2017). Decentralized adaptive synchronization with bounded identification errors for discrete-time nonlinear multi-agent systems with unknown parameters and unknown high-frequency gains. Journal of the Franklin Institute, 355(1), 474–500. doi: 10.1016/j.jfranklin.2017.11.017
  • Zhang, X. H., Ma, H. B., & Yang, C. G. (2017). Decentralised adaptive control of a class of hidden leader-follower non-linearly parameterised coupled mass. IET Control Theory and Applications, 11(17), 3016–3025. doi: 10.1049/iet-cta.2017.0644
  • Zhou, J. J., Ye, D. Q., Yang, S. X., & Liu, X. L. (2016). Optimal design of consensus for autonomous underwater vehicles with damping term using a directed spanning tree. Oceans, Shanghai (pp. 1–5).

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