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Research Article

Quantised adaptive consensus control of heterogeneous nonlinear multi-agent systems under external disturbance

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Received 12 Dec 2023, Accepted 21 Apr 2024, Published online: 05 May 2024

References

  • Cai, X., Xiao, F., & Wei, B. (2022). Resilient Nash equilibrium seeking in multiagent games under false data injection attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(1), 275–284. https://doi.org/10.1109/TSMC.2022.3180006
  • Cao, Y., Yu, W., Ren, W., & Chen, G. (2012). An overview of recent progress in the study of distributed multi-agent coordination. IEEE Transactions on Industrial Informatics, 9(1), 427–438. https://doi.org/10.1109/TII.2012.2219061
  • Chen, D., Liu, X., & Yu, W. (2020). Finite-time fuzzy adaptive consensus for heterogeneous nonlinear multi-agent systems. IEEE Transactions on Network Science and Engineering, 7(4), 3057–3066. https://doi.org/10.1109/TNSE.6488902
  • Chen, L., Li, Y., & Tong, S. (2023). Neural network adaptive consensus control for nonlinear multi-agent systems encountered sensor attacks. International Journal of Systems Science, 54(12), 2536–2550. https://doi.org/10.1080/00207721.2023.2240465
  • Chen, L., & Tong, S. (2023). Observer-based adaptive fuzzy consensus control of nonlinear multi-agent systems encountering deception attacks. IEEE Transactions on Industrial Informatics, 20(2), 1808–1818. https://doi.org/10.1109/TII.2023.3281703
  • Deng, C., Meng, F., Xie, X., Yue, D., Che, W. W., & Fan, S. (2023). Data-driven based distributed fuzzy tracking control for nonlinear MASs under doS attacks. IEEE Transactions on Fuzzy Systems, 32(1), 53–63. https://doi.org/10.1109/TFUZZ.2023.3289972
  • Deng, C., Wen, C., Wang, W., Li, X., & Yue, D. (2022). Distributed adaptive tracking control for high-order nonlinear multiagent systems over event-triggered communication. IEEE Transactions on Automatic Control, 68(2), 1176–1183. https://doi.org/10.1109/TAC.2022.3148384
  • Deng, C., & Yang, G. H. (2016). Consensus of linear multiagent systems with actuator saturation and external disturbances. IEEE Transactions on Circuits and Systems II: Express Briefs, 64(3), 284–288.
  • Ding, D., Wang, Z., & Han, Q. L. (2019). Neural-network-based consensus control for multiagent systems with input constraints: the event-triggered case. IEEE Transactions on Cybernetics, 50(8), 3719–3730. https://doi.org/10.1109/TCYB.6221036
  • Dong, G., Li, H., Ma, H., & Lu, R. (2020). Finite-time consensus tracking neural network FTC of multi-agent systems. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 653–662. https://doi.org/10.1109/TNNLS.5962385
  • Du, H., Wen, G., Wu, D., Cheng, Y., & Lü, J. (2020). Distributed fixed-time consensus for nonlinear heterogeneous multi-agent systems. Automatica, 113, 108797. https://doi.org/10.1016/j.automatica.2019.108797
  • Fang, X., Fan, H., Wang, W., Liu, L., Wang, B., & Cheng, Z. (2022). Adaptive finite-time fault-tolerant control of uncertain systems with input saturation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(1), 165–177. https://doi.org/10.1109/TSMC.2022.3170573
  • Gao, C., Wang, Z., He, X., & Dong, H. (2021). Fault-tolerant consensus control for multiagent systems: an encryption–decryption scheme. IEEE Transactions on Automatic Control, 67(5), 2560–2567. https://doi.org/10.1109/TAC.2021.3079407
  • Guo, M., Xu, D., & Liu, L. (2016). Cooperative output regulation of heterogeneous nonlinear multi-agent systems with unknown control directions. IEEE Transactions on Automatic Control, 62(6), 3039–3045. https://doi.org/10.1109/TAC.2016.2609281
  • Hao, Y., Liu, L., & Feng, G. (2021). Event-triggered cooperative output regulation of heterogeneous multiagent systems under switching directed topologies. IEEE Transactions on Cybernetics, 53(2), 1026–1038. https://doi.org/10.1109/TCYB.2021.3097337
  • He, W., Xu, B., Han, Q. L., & Qian, F. (2019). Adaptive consensus control of linear multiagent systems with dynamic event-triggered strategies. IEEE Transactions on Cybernetics, 50(7), 2996–3008. https://doi.org/10.1109/TCYB.6221036
  • Hong, Y., Chen, G., & Bushnell, L. (2008). Distributed observers design for leader-following control of multi-agent networks. Automatica, 44(3), 846–850. https://doi.org/10.1016/j.automatica.2007.07.004
  • Huang, J., Song, Y. D., Wang, W., Wen, C., & Li, G. (2017). Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference. Automatica, 83, 361–367. https://doi.org/10.1016/j.automatica.2017.06.025
  • Liang, H., Zhang, Y., Huang, T., & Ma, H. (2019). Prescribed performance cooperative control for multiagent systems with input quantization. IEEE Transactions on Cybernetics, 50(5), 1810–1819. https://doi.org/10.1109/TCYB.6221036
  • Liu, G., Basin, M. V., Liang, H., & Zhou, Q. (2020). Adaptive bipartite tracking control of nonlinear multiagent systems with input quantization. IEEE Transactions on Cybernetics, 52(3), 1891–1901. https://doi.org/10.1109/TCYB.2020.2999090
  • Liu, K., & Ji, Z. (2022). Dynamic event-triggered consensus of general linear multi-agent systems with adaptive strategy. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(8), 3440–3444.
  • Liu, Y., Su, H., & Zeng, Z. (2020). Second-order consensus for multiagent systems with switched dynamics. IEEE Transactions on Cybernetics, 52(6), 4105–4114. https://doi.org/10.1109/TCYB.2020.3015977
  • Liu, Z., Huang, H., Park, J. H., Huang, J., Wang, X., & Lv, M. (2023). Adaptive fuzzy control for unknown nonlinear multi-agent systems with switching directed communication topologies. IEEE Transactions on Fuzzy Systems, 31(7), 2487–2494. https://doi.org/10.1109/TFUZZ.2023.3235388
  • Luan, H., Mei, J., Wu, A. G., & Ma, G. (2023). Distributed constrained consensus of multi-agent systems with uncertainties and disturbances under switching directed graphs. IEEE Transactions on Control of Network Systems, 11(1), 161–172. https://doi.org/10.1109/TCNS.2023.3272848
  • Ma, J., Liu, L., Ji, H., & Feng, G. (2018). Quantised consensus of multiagent systems by event-triggered control. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(9), 3231–3242. https://doi.org/10.1109/TSMC.6221021
  • Ma, Y. S., Che, W. W., Deng, C., & Z. G. Wu (2021). Observer-based event-triggered containment control for MASs under DoS attacks. IEEE Transactions on Cybernetics, 52(12), 13156–13167. https://doi.org/10.1109/TCYB.2021.3104178
  • Shi, S. -N., & Y. -X. Li (2023). Event-based adaptive asymptotic tracking control of nonlinear time-varying systems with prescribed performance. Journal of Control and Decision, 10(3), 355–364. https://doi.org/10.1080/23307706.2022.2078434
  • Tong, S., Li, Y., & Sui, S. (2016). Adaptive fuzzy tracking control design for SISO uncertain nonstrict feedback nonlinear systems. IEEE Transactions on Fuzzy Systems, 24(6), 1441–1454. https://doi.org/10.1109/TFUZZ.2016.2540058
  • Wang, H., Ren, W., Yu, W., & Zhang, D. (2021). Fully distributed consensus control for a class of disturbed second-order multi-agent systems with directed networks. Automatica, 132, 109816. https://doi.org/10.1016/j.automatica.2021.109816
  • Wang, H., Yu, W., Ding, Z., & Yu, X. (2019). Tracking consensus of general nonlinear multiagent systems with external disturbances under directed networks. IEEE Transactions on Automatic Control, 64(11), 4772–4779. https://doi.org/10.1109/TAC.9
  • Wang, M., Zhang, T., & Yang, Y. (2020). Adaptive neural output feedback control for uncertain nonlinear systems with input quantization and output constraints. International Journal of Adaptive Control and Signal Processing, 34(2), 228–247. https://doi.org/10.1002/acs.v34.2
  • Wang, W., Han, Z., Liu, K., & Lü, J. (2021). Distributed adaptive resilient formation control of uncertain nonholonomic mobile robots under deception attacks. IEEE Transactions on Circuits and Systems I: Regular Papers, 68(9), 3822–3835. https://doi.org/10.1109/TCSI.2021.3096937
  • Wang, W., Huang, J., Wen, C., & Fan, H. (2014). Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots. Automatica, 50(4), 1254–1263. https://doi.org/10.1016/j.automatica.2014.02.028
  • Wang, W., Wen, C., & Huang, J. (2017). Distributed adaptive asymptotically consensus tracking control of nonlinear multi-agent systems with unknown parameters and uncertain disturbances. Automatica, 77, 133–142. https://doi.org/10.1016/j.automatica.2016.11.019
  • Wang, W., Zhou, J., Wen, C., & Long, J. (2021). Adaptive backstepping control of uncertain nonlinear systems with input and state quantization. IEEE Transactions on Automatic Control, 67(12), 6754–6761. https://doi.org/10.1109/TAC.2021.3131958
  • Wang, X., Xu, R., Huang, T., & Kurths, J. (2023). Event-triggered adaptive containment control for heterogeneous stochastic nonlinear multiagent systems. IEEE Transactions on Neural Networks and Learning Systems, 1–11. https://doi.org/10.1109/TNNLS.2022.3230508
  • Wang, Y. M., & Li, Y. X. (2022). Adaptive security control of time-varying constraints nonlinear cyber-physical systems with false data injection attacks. Journal of Control and Decision, 11(1), 50–59. doi:10.1080/23307706.2022.2136274
  • Wei, B., & Xiao, F. (2019). Distributed consensus control of linear multiagent systems with adaptive nonlinear couplings. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(2), 1365–1370. https://doi.org/10.1109/TSMC.6221021
  • Wei, S. Y., & Li, Y. X. (2023). Exact tracking of nonlinear systems under triggering state signals. Journal of Control and Decision, 1–15. https://doi.org/10.1080/23307706.2023.2258525
  • Wu, Y., & Liu, L. (2023). Finite-time distributed average tracking for a class of nonlinear multi-agent systems with external disturbances. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(8), 5106–5115. https://doi.org/10.1109/TSMC.2023.3261347
  • Wu, Y., Pan, Y., Chen, M., & Li, H. (2020). Quantized adaptive finite-time bipartite NN tracking control for stochastic multiagent systems. IEEE Transactions on Cybernetics, 51(6), 2870–2881. https://doi.org/10.1109/TCYB.2020.3008020
  • Xiao, S., & Dong, J. (2020). Distributed adaptive fuzzy fault-tolerant containment control for heterogeneous nonlinear multiagent systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(2), 954–965. https://doi.org/10.1109/TSMC.2020.3002944
  • Yang, J. Z., Li, Y. X., & Tong, S. (2022). Adaptive asymptotic fault-tolerant tracking of uncertain nonlinear systems with unknown control directions. Journal of Control and Decision, 9(3), 301–310. https://doi.org/10.1080/23307706.2021.1970035
  • Zhang, Y. W., Zhao, X. W., Zhang, J., & Lai, Q. (2023). Adaptive leader-following consensus of multi-agent systems with unknown disturbances and switching topologies. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(8), 2944–2948.
  • Zhou, H., & Tong, S. (2023). Adaptive neural network event-triggered output-feedback containment control for nonlinear MASs with input quantization. IEEE Transactions on Cybernetics, 53(11), 7406–7416. https://doi.org/10.1109/TCYB.2023.3249154
  • Zhou, J., Wen, C., Wang, W., & Yang, F. (2019). Adaptive backstepping control of nonlinear uncertain systems with quantized states. IEEE Transactions on Automatic Control, 64(11), 4756–4763. https://doi.org/10.1109/TAC.9
  • Zhou, J., Wen, C., & Yang, G. (2013). Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal. IEEE Transactions on Automatic Control, 59(2), 460–464. https://doi.org/10.1109/TAC.2013.2270870
  • Zhu, Y., Wang, Z., Liang, H., & Ahn, C. K. (2023). Neural-network-based predefined-time adaptive consensus in nonlinear multi-agent systems with switching topologies. IEEE Transactions on Neural Networks and Learning Systems, 1–11. https://doi.org/10.1109/TNNLS.2023.3238336

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