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Original Articles

Distributed adaptive neural network control for a class of heterogeneous nonlinear multi-agent systems subject to actuation failures

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Pages 559-570 | Received 05 Jul 2015, Accepted 19 May 2016, Published online: 08 Jun 2016

References

  • Cao, J.D., Li, H.X., & Ho, D.W.C. (2005). Synchronization criteria of Lur'e systems with time-delay feedback control. Chaos Solitons & Fractals, 23(4), 1285–1298.
  • Cao, Y., Yu, W., Ren, W., & Chen, G. (2013). An overview of recent progress in the study of distributed multi-agent coordination. IEEE Transactions on Industrial Informatics, 9(1), 427–438.
  • Chen, C.L.P., Wen, G.X., Liu, Y.J., & Wang, F.Y. (2014). Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks. IEEE Transactions on Neural Networks and Learning Systems, 25(6), 1217–1226.
  • Chen, G., & Song, Y. (2014). Fault-tolerant output synchronisation control of multi-vehicle systems. IET Control Theory and Applications, 8(8), 574–584.
  • Cheng, L., Hou, Z.-G., & Tan, M. (2009). Adaptive neural network tracking control for manipulators with uncertain kinematics, dynamics and actuator model. Automatica, 45(10), 2312–2318.
  • Cheng, L., Hou, Z.-G., Tan, M., Lin, Y., & Zhang, W. (2010). Neural-network-based adaptive leader-following control for multiagent systems with uncertainties. IEEE Transactions on Neural Networks, 21(8), 1351–1358.
  • Cui, B., Ma, T.D., Lewis, F.L., Zhao, C.H., Song, Y.D., & Feng, C. (2015). Distributed adaptive consensus control of heterogeneous multi-agent chaotic systems with unknown time delays. IET Control Theory & Applications, 9(16), 2414–2422.
  • Das, A., & Lewis, F.L. (2010). Distributed adaptive control for synchronization of unknown nonlinear networked systems. Automatica, 46(12), 2014–2021.
  • Das, A., & Lewis, F.L. (2011). Cooperative adaptive control for synchronization of second-order systems with unknown nonlinearities. International Journal of Robust and Nonlinear Control, 21(13), 1509–1524.
  • Fax, J.A., & Murray, R.M. (2004). Information flow and cooperative control of vehicle formations. IEEE Transactions on Automatic Control, 49(9), 1465–1476.
  • Ge, S.S., & Wang, C. (2004). Adaptive neural control of uncertain MIMO nonlinear systems. IEEE Transactions on Neural Networks, 15, 674–692.
  • Hong, Y., Hu, J., & Gao, L. (2006). ‘Tracking control for multi-agent consensus with an active leader and variable topology. Automatica, 42(7), 1177–1182.
  • Hornik, K., Stinchcombe, M., & White, H. (1989). Multilayer feedforward networks are universal approximators. Neural Networks, 2(5), 359–366.
  • Hou, Z.G., Cheng, L., & Tan, M. (2009). Decentralized robust adaptive control for the multiagent system consensus problem using neural networks. IEEE Transactions on Systems Man and Cybernetics Part B – Cybernetics, 39(3), 636–647.
  • 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(6), 988–1001.
  • Lewis, F.L., Zhang, H.W., Hengster-Movric, K., & Das, A. (2014). Cooperative control of multi-agent systems: Optimal and adaptive design approaches. London: Springer-Verlag.
  • Li, J., & Kumar, K.D. (2012). Decentralized fault-tolerant control for satellite attitude synchronization. IEEE Transactions on Fuzzy Systems, 20(3), 572–586.
  • Li, T.,& Xie, L.H. (2012). Distributed coordination of multi-agent systems with quantized-observer based encoding-decoding. IEEE Transactions on Automatic Control, 57(12), 3023–3037.
  • Li, T., & Zhang, J.F. (2010). Consensus conditions of multi-agent systems with time-varying topologies and stochastic communication noises. IEEE Transactions on Automatic Control, 55(9), 2043–2057.
  • Li, Z.J., Xia, Y.Q., & Sun, F.C. (2014). Adaptive fuzzy control of multilateral cooperative teleoperation for multiple robotic manipulators under random time delays. IEEE Transactions Fuzzy Systems, 22(2), 437–450.
  • Li, Z.J., Yang, C.G., Su, C.Y., & Ye, W.J. (2014). Adaptive fuzzy-based motion generation and control for mobile underactuated manipulators. Engineering Applications of Artificial Intelligence, 30, 86–95.
  • Li, Z.J., Yang, C.G., & Tang, Y. (2013). Decentralized adaptive fuzzy control of coordinated multiple mobile manipulators interacting with nonrigid environments. IET Control Theory & Application, 7(3), 397–410.
  • Li, Z.K., Wen, G.H., Duan, Z.S., & Ren, W. (2015). Designing fully distributed consensus protocols for linear multi-agent systems with directed graphs. IEEE Transactions on Automatic Control, 60(4), 1152–1157.
  • Olfati-Saber, R., Fax, J.A., & Murray, R.M. (2007). Consensus and cooperation in networked multi-agent systems. Proceedings of the IEEE, 95(1), 215–233.
  • Peng, Z.H., Wang, D., Zhang, H., & Sun, G. (2014). Distributed neural network control for adaptive synchronization of uncertain dynamical multiagent systems. IEEE Transactions on Neural Networks and Learning Systems, 25(8), 1508–1519.
  • Peng, Z.H., Wang, D., Zhang, H., Sun, G., & Wang, H. (2013). Distributed model reference adaptive control for cooperative tracking of uncertain dynamical multi-agent systems. IET Control Theory and Applications, 7(8), 1079–1087.
  • Ren, W., Beard, R.W., & Atkins, E.M. (2007). Information consensus in multivehicle cooperative control. IEEE Control Systems Magazine, 27(2), 71–82.
  • Semsar-Kazerooni, E., & Khorasani, K. (2007). Optimal performance of a modified leader-follower cooperative team with partial availability of the leader command and agents actuator faults. In Proceedings of the 46th IEEE Conference on Decision and Control (pp. 2491–2497). New Orleans, LA.
  • Semsar-Kazerooni, E., & Khorasani, K. (2010). Team consensus for a network of unmanned vehicles in presence of actuator faults. IEEE Transactions on Control Systems Technology, 18(5), 1155–1161.
  • Shen, Q., Jiang, B., Shi, P., & Zhao, J. (2014). Cooperative adaptive fuzzy tracking control for networked unknown nonlinear multiagent systems with time-varying actuator faults. IEEE Transactions on Fuzzy Systems, 22(3), 494–504.
  • Shen, Q.K., Shi, P., & Shi, Y. (2015). Distributed adaptive fuzzy control for nonlinear multiagent systems via sliding mode observers. Advance online publication. doi:10.1109/TCYB.2015.2496963
  • Stone, M.H. (1948). The generalized Weierstrass approximation theorem. Mathematics Magazine, 21(5), 237–254.
  • Tang, Y., Qian, F., Gao, H.J., & Kurths, J. (2014). Synchronization in complex networks and its application – A survey of recent advances and challenges. Annual Reviews in Control, 38(2), 184–198.
  • Wang, L., & Liu, Z.X. (2009). Robust consensus of multi-agent systems with noise. Science in China Series F: Information Sciences, 52(5), 824–834.
  • Wang, X., & Yang, G.-H. (2015). Cooperative adaptive fault-tolerant tracking control for a class of multi-agent systems with actuator failures and mismatched parameter uncertainties. IET Control Theory and Applications, 9(8), 1274–1284.
  • Wang, Y.P., Cheng, L., Ren, W., Hou, Z.G., & Tan, M. (2015). Seeking consensus in networks of linear agents: communication noises and Markovian switching topologies. IEEE Transactions on Automatic Control, 60(5), 1374–1379.
  • Wang, Y.P., Cheng, L., Yang, C.G., Hou, Z.G., & Tan, M. (2016). Reaching a stochastic consensus in the noisy networks of linear MIMO agents: dynamic output-feedback and convergence rate. Science China Technological Sciences, 59(1), 45–54.
  • Wang, Y., Song, Y., & Lewis, F.L. (2015).,Robust adaptive fault-tolerant control of multiagent systems with uncertain nonidentical dynamics and undetectable actuation failures. IEEE Transactions on Industrial Electronics, 62(6), 3978–3988.
  • Wen, G.H., Duan, Z., Li, Z., & Chen, G. (2012). ‘Stochastic consensus in directed networks of agents with non-linear dynamics and repairable actuator failures. IET Control Theory and Applications, 6(11), 1583–1593.
  • Wen, G.H., Hu, G.Q., Yu, W.W., Cao, J.D., & Chen, G.R. (2013). Consensus tracking for higher-order multi-agent systems with switching directed topologies and occasionally missing control inputs. Systems & Control Letters, 62(12), 1151–1158.
  • Yang, H., Staroswiecki, M., Jiang, B., & Liu, J. (2011). Fault tolerant: Cooperative control for a class of nonlinear multi-agent systems. Systems & Control Letters, 60(4), 271–277.
  • Zhang, H.W., & Lewis, F.L. (2012). Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics. Automatica, 48(7), 1432–1439.
  • Zhang, H.W., Lewis, F.L., & Das, A. (2011). Optimal design for synchronization of cooperative systems: State feedback, observer and output feedback. IEEE Transactions on Automatic Control, 56(8), 1948–1952.
  • Zhang, H.W., Li, Z.K., Qu, Z.H., & Lewis, F.L. (2015). On constructing Lyapunov functions for multi-agent systems. Automatica, 58, 39–42.
  • Zhou, B., Wang, W., & Ye, H. (2014). Cooperative control for consensus of multi-agent systems with actuator faults. Computers & Electrical Engineering, 40(7), 2154–2166.
  • Zuo, Z., Zhang, J., & Wang, Y. (2015). Adaptive fault-tolerant tracking control for linear and Lipschitz nonlinear multi-agent systems. IEEE Transactions on Industrial Electronics, 62(6), 3923–3931.

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