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Regular papers

Decentralised state-feedback prescribed performance control for a class of interconnected nonlinear full-state time-delay systems with strong interconnection

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Pages 2580-2596 | Received 15 Nov 2020, Accepted 14 Feb 2021, Published online: 02 Mar 2021

References

  • Bechlioulis, C. P., & Rovithakis, A. G. (2008). Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance. IEEE Transactions on Automatic Control, 53(9), 2090–2099. https://doi.org/10.1109/TAC.2008.929402
  • Chen, B., Liu, X., Liu, K., & Lin, C. (2010). Fuzzy-approximation-based adaptive control of strict-feedback nonlinear systems with time delays. IEEE Transactions on Fuzzy Systems, 18(5), 883–892. https://doi.org/10.1109/TFUZZ.2010.2050892
  • Gao, F., Yuan, F., & Wu, Y. (2013). Global stabilisation of high-order nonlinear systems with time-varying delays. IET Control Theory and Applications, 7, 1737–1744. https://doi.org/10.1049/cth2.v7.13
  • Ge, S. S., Hong, F., & Lee, T. H. (2003). Adaptive neural network control of nonlinear systems with unknown time delays. IEEE Transactions on Automatic Control, 48(11), 2004–2010. https://doi.org/10.1109/TAC.2003.819287
  • Hong, F., Ge, S. S., & Lee, T. H. (2005). Practical adaptive neural control of nonlinear systems with unknown time delays. IEEE Transactions on Systems, Man and Cybernetics, Part B, 35(4). https://doi.org/10.1109/TSMCB.2005.846645
  • Hua, C., Li, Y., Zhang, L., & Guan, X. (2019). Adaptive state feedback control for time-delay stochastic nonlinear systems based on dynamic gain method. International Journal of Control, 92(12). https://doi.org/10.1080/00207179.2018.1459860
  • Hua, C., Wu, L., Zhang, Y., & Li, Y. (2018). Non-smooth state feedback prescribed performance control for interconnected nonlinear systems with unmodelled dynamics. International Journal of Systems Science, 49(14). https://doi.org/10.1080/00207721.2018.1512678
  • Hua, C., Zhang, L., & Guan, X. (2016). Reduced-order observer-based output feedback control of nonlinear time-delay systems with prescribed performance. International Journal of Systems Science, 47(6), 1384–1393. https://doi.org/10.1080/00207721.2014.927937
  • Jankovic, M. (2001). Control Lyapunov-Razumikhin functions and robust stabilization of time delay systems. IEEE Transactions on Automatic Control, 46(7). https://doi.org/10.1109/9.935057
  • Jiang, Y., Dong, J., & Yin, S. (2020). Improving the safety of distributed cyber-physical systems against false data injection attack by establishing interconnections. In IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society.
  • Jiao, X., & Shen, T. (2005). Adaptive feedback control of nonlinear time-delay systems: The LaSalle-Razumikhin-based approach. IEEE Transactions on Automatic Control, 50(11), 1909–1913. https://doi.org/10.1109/TAC.2005.854652
  • Jiao, H., Shi, M., Shen, Q., Zhu, J., & Shi, P. (2018). Filter design with adaptation to time-delay parameters for genetic regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(1), 323–329. https://doi.org/10.1109/TCBB.2016.2606430
  • Li, H., Wu, Y., & Chen, M. (2020). Adaptive fault-tolerant tracking control for discrete-time multiagent systems via reinforcement learning algorithm. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2020.2982168
  • Li, M., & Shuai, Z. (2010). Global-stability problem for coupled systems of differential equations on networks. Journal of Differential Equations, 248(1), 1–20. https://doi.org/10.1016/j.jde.2009.09.003
  • Li, X., & Yang, G. (2017). Adaptive decentralized control for a class of interconnected nonlinear systems via backstepping approach and graph theory. Automatica, 76, 87–95. https://doi.org/10.1016/j.automatica.2016.10.019
  • Li, X., & Yang, G. (2018). Neural-network-based adaptive decentralized fault-tolerant control for a class of interconnected nonlinear systems. IEEE Transactions on Neural Networks and Learning Systems, 29(1), 144–155. https://doi.org/10.1109/TNNLS.2016.2616906
  • Li, X., Ren, X., & Yang, G. (2019). Backstepping-based decentralized tracking control for a class of interconnected stochastic nonlinear systems coupled via a directed graph. Information Sciences, 477, 302–320. https://doi.org/10.1016/j.ins.2018.10.062
  • Liu, H., Shi, P., Karimi, H. R., & Chadli, M. (2016). Finite-time stability and stabilisation for a class of nonlinear systems with time-varying delay. International Journal of Systems Science, 47(6), 1433–1444. https://doi.org/10.1080/00207721.2014.932467
  • Mahmoud, M. S. (2011). Decentralized systems with design constraints. Springer-Verlag.
  • Pan, Y., Du, P., Xue, H., & Lam, H. (2020). Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/TFUZZ.2020.2999746
  • Shen, Q., Agarwal, R. K., & Shi, Y. (2020). Adaptive neural network-based filter design for nonlinear systems with multiple constraints. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2020.3009391.
  • Sun, H., Hou, L., Zong, G., & Yu, X. (2020). Adaptive decentralized neural network tracking control for uncertain interconnected nonlinear systems with input quantization and time delay. IEEE Transactions on Neural Networks and Learning Systems, 31(4), 1401–1409. https://doi.org/10.1109/TNNLS.2019.2919697
  • Tong, S., Huo, B., & Li, Y. (2014). Observer-based adaptive decentralized fuzzy fault-tolerant control of nonlinear large-scale systems with actuator failures. IEEE Transactions on Fuzzy Systems, 22(1), 1–15. https://doi.org/10.1109/TFUZZ.2013.2241770
  • Vournas, C. D., & Papadias, B. C. (1987). Power system stabilization via parameter optimization-Application to the hellenic interconnected system. IEEE Transactions on Power Systems, 2(3), 615–622. https://doi.org/10.1109/TPWRS.1987.4335180
  • Wang, L., & Chen, C. L. P. (2020). Reduced-order observer-based dynamic event-triggered adaptive NN control for stochastic nonlinear systems subject to unknown input saturation. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2020.2986281.
  • Wang, T., Wu, J., Wang, Y., & Ma, M. (2020). Adaptive fuzzy tracking control for a class of strict-feedback nonlinear systems with time-varying input delay and full state constraints. IEEE Transactions on Fuzzy Systems, 28(12), 3432–3441. https://doi.org/10.1109/TFUZZ.91
  • Wang, X., Wu, Q., & Yin, X. (2020). Adaptive finite-time prescribed performance control of switched nonlinear systems with unknown actuator dead-zone. International Journal of Systems Science, 51(1), 133–145. https://doi.org/10.1080/00207721.2019.1701136
  • Wang, Y., Niu, B., Wang, H., Alotaibi, N., & Alkhateeb, A. (2020). Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: an average dwell time switching approach. Neurocomputing. https://doi.org/10.1016/j.neucom.2020.10.023.
  • Wang, Z., Zhang, B., & Yuan, J. (2018). Decentralized adaptive fault tolerant control for a class of interconnected systems with nonlinear multisource disturbances. Journal of The Franklin Institute, 355(11), 4493–4514. https://doi.org/10.1016/j.jfranklin.2017.10.038
  • Wen, C., Zhou, J., & Wang, W. (2009). Decentralized adaptive backstepping stabilization of interconnected systems with dynamic input and output interactions. Automatica, 45(1), 55–67. https://doi.org/10.1016/j.automatica.2008.06.018
  • Wu, B., Chang, X., & Zhao, X. (2020). Fuzzy H∞ output feedback control for nonlinear NCSs with quantization and stochastic communication protocol. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/TFUZZ.2020.3005342
  • Wu, J., Chen, W., & Li, J. (2015). Fuzzy-approximation-based global adaptive control for uncertain strict-feedback systems with apriori known tracking accuracy. Fuzzy Sets and Systems, 273, 1–25. https://doi.org/10.1016/j.fss.2014.10.009
  • Xia, X., Zhang, T., Yi, Y., & Shen, Q. (2016). Adaptive prescribed performance control of output feedback systems including input unmodeled dynamics. Neurocomputing, 190, 226–236. https://doi.org/10.1016/j.neucom.2016.01.014
  • Yin, S., Rodriguez-Andina, J. J., & Jiang, Y. (2019). Real-time monitoring and control of industrial cyberphysical systems with integrated plant-wide monitoring and control framework. IEEE Industrial Electronics Magazine, 13(4), 38–47. https://doi.org/10.1109/MIE.4154573
  • Yoo, S. J., & Park, J. B. (2009). Neural-network-based decentralized adaptive control for a class of large-scale nonlinear systems with unknown time-varying delays. IEEE Transactions on Systems, Man, and Cybernetics, 39(5), 1316–1323. https://doi.org/10.1109/TSMCB.2009.2016110
  • Yu, X., Wang, T., Qiu, J., & Gao, H. (2019). Barrier lyapunov function-based adaptive fault-tolerant control for a class of strict-feedback stochastic nonlinear systems. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2019.2941367
  • Yu, X., Wang, T., Qiu, J., Yin, S., Gao, H., Fan, J., & Chai, T. (2016). Performance-based adaptive fuzzy tracking control for networked industrial processes. IEEE Transactions on Cybernetics, 46(8), 1760–1770. https://doi.org/10.1109/TCYB.2016.2551039
  • Zhang, X., Lin, W., & Lin, Y. (2017). Nonsmooth feedback control of time-delay nonlinear systems: a dynamic gain based approach. IEEE Transactions on Automatic Control, 62(1), 438–444. https://doi.org/10.1109/TAC.2016.2562059
  • Zhang, X., & Lin, Y. (2014). Nonlinear decentralized control of large-scale systems with strong interconnections. Automatica, 50(9). https://doi.org/10.1016/j.automatica.2014.07.024
  • Zhang, X., & Lin, Y. (2015). Adaptive control of nonlinear time-delay systems with application to a two-stage chemical reactor. IEEE Transactions on Automatic Control, 60(4), 1074–1079. https://doi.org/10.1109/TAC.2014.2330436

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