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Research Articles

Backstepping-based adaptive fuzzy tracking control for pure-feedback nonlinear multi-agent systems

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Pages 1584-1595 | Received 21 Oct 2023, Accepted 28 Jan 2024, Published online: 13 Feb 2024

References

  • Chang, Y., Wang, Y., Alsaadi, F. E., & Zong, G. (2019). Adaptive fuzzy output-feedback tracking control for switched stochastic pure-feedback nonlinear systems. International Journal of Adaptive Control and Signal Processing, 33(10), 1567–1582. https://doi.org/10.1002/acs.3052
  • Chen, C., Sheng, L., Fang, Y., Shu, C., Siqi, L., & Wenze, X. (2021). Multi agent consensus control based on improved sliding mode controller. In China automation congress (CAC) (pp. 1295–1299). IEEE.
  • Chen, L., Liang, H., Pan, Y., & Li, T. (2023). Human-in-the-loop consensus tracking control for UAV systems via an improved prescribed performance approach. IEEE Transactions on Aerospace and Electronic Systems, 59(6), 8380–8391. https://doi.org/10.1109/TAES.2023.3304283
  • Cui, Y., Liu, X., Deng, X., & Wang, Q. (2021). Observer-based adaptive fuzzy formation control of nonlinear multi-agent systems with nonstrict-feedback form. International Journal of Fuzzy Systems, 23, 680–691. https://doi.org/10.1007/s40815-020-01004-7
  • Dong, X., Chen, G., & Chen, L. (1997). Adaptive control of the uncertain duffing oscillator. International Journal of Bifurcation and Chaos, 07(07), 1651–1658. https://doi.org/10.1142/S0218127497001278
  • Feng, Z., Li, R., & Wu, L. (2023). Adaptive decentralized control for constrained strong interconnected nonlinear systems and its application to inverted pendulum. IEEE Transactions on Neural Networks and Learning Systems, 1–11. https://doi.org/10.1109/TNNLS.2023.3238819
  • Feng, Z., Li, R., Zhang, N., & Wu, L. (2023). Event-based asymptotic tracking control for constrained mimo nonlinear systems via a single-parameter adaptation method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(12), 7758–7768. https://doi.org/10.1109/TSMC.2023.3301189
  • Ferrara, A., & Giacomini, L. (2000). Control of a class of mechanical systems with uncertainties via a constructive adaptive/second order VSC approach. Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 122(1), 33–39. https://doi.org/10.1115/1.482426
  • Hunt, L. R., & Meyer, G. (1997). Stable inversion for nonlinear systems. Automatica, 33(8), 1549–1554. https://doi.org/10.1016/S0005-1098(97)00064-2
  • Li, K., & Li, Y. (2020). Adaptive fuzzy finite-time dynamic surface control for high-order nonlinear system with output constraints. International Journal of Control, Automation and Systems, 19(1), 112–123. https://doi.org/10.1007/s12555-019-0986-4
  • Li, Y., Xu, N., Niu, B., Chang, Y., Zhao, J., & Zhao, X. (2021). Small-gain technique-based adaptive fuzzy command filtered control for uncertain nonlinear systems with unmodeled dynamics and disturbances. International Journal of Adaptive Control and Signal Processing, 35(9), 1664–1684. https://doi.org/10.1002/acs.v35.9
  • Liu, Y., Liu, X., & Jing, Y. (2019). Adaptive fuzzy finite-time stability of uncertain nonlinear systems based on prescribed performance. Fuzzy Sets and Systems, 374, 23–39. https://doi.org/10.1016/j.fss.2018.12.015
  • Ma, L., Zhu, F., Zhang, J., & Zhao, X. (2021). Leader-follower asymptotic consensus control of multiagent systems: An observer-based disturbance reconstruction approach. IEEE Transactions on Cybernetics, 53(2), 1311–1323. https://doi.org/10.1109/TCYB.2021.3125332
  • Ma, L., Zhu, F., & Zhao, X. (2023). Human-in-the-loop consensus control for multiagent systems with external disturbances. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3246567
  • Ma, L., Zhu, F., & Zhao, X. (2023). Human-in-the-loop formation-containment control for multiagent systems: An observer-based distributed unknown input reconstruction method. IEEE Transactions on Control of Network Systems, 10(4), 2178–2189. https://doi.org/10.1109/TCNS.2023.3269010
  • Ma, Z., & Ma, H. (2020). Adaptive fuzzy backstepping dynamic surface control of strict-feedback fractional-order uncertain nonlinear systems. IEEE Transactions on Fuzzy Systems, 28(1), 122–133. https://doi.org/10.1109/TFUZZ.91
  • Nowzari, C., García, E., & Cortés, J. (2017). Event-triggered communication and control of networked systems for multi-agent consensus. Automatica, 105, 1–27. https://doi.org/10.1016/j.automatica.2019.03.009
  • Oh, K. K., Park, M. C., & Ahn, H. S. (2015). A survey of multi-agent formation control. Automatica, 53, 424–440. https://doi.org/10.1016/j.automatica.2014.10.022
  • Shen, Q., Shi, P., Zhu, J., Wang, S., & Shi, Y. (2020). Neural networks-based distributed adaptive control of nonlinear multiagent systems. IEEE Transactions on Neural Networks and Learning Systems, 31(3), 1010–1021. https://doi.org/10.1109/TNNLS.5962385
  • Shen, Q., Shi, Y., Jia, R., & Shi, P. (2021). Design on type-2 fuzzy-based distributed supervisory control with backlash-like hysteresis. IEEE Transactions on Fuzzy Systems, 29(2), 252–261. https://doi.org/10.1109/TFUZZ.91
  • Shen, Q., Yi, Y., & Zhang, T. (2023). Fuzzy adaptive distributed synchronization control of uncertain multi-agents systems with unknown input power and sector nonlinearities. Chaos, Solitons and Fractals, 174, Article 113897. https://doi.org/10.1016/j.chaos.2023.113897
  • Tong, S., Li, Y., & Liu, Y. (2014). Adaptive fuzzy output feedback decentralized control of pure-feedback nonlinear large-scale systems. International Journal of Robust and Nonlinear Control, 24(5), 930–954. https://doi.org/10.1002/rnc.v24.5
  • Wang, D., & Huang, J. (2002). Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form. Automatica, 38(8), 1365–1372. https://doi.org/10.1016/S0005-1098(02)00034-1
  • Wang, D., Shen, Y., & Fang, Z. (2023). Leader-follower consensus for nonlinear multi-agent systems with unknown measurement sensitivities. International Journal of Systems Science, 54(7), 1575–1587. https://doi.org/10.1080/00207721.2023.2186192
  • Wang, L. (1994). Adaptive fuzzy systems and control: Design and stability analysis. Prentice-Hall.
  • Wang, M., Liang, H., Pan, Y., & Xie, X. (2023). A new privacy preservation mechanism and a gain iterative disturbance observer for multiagent systems. IEEE Transactions on Network Science and Engineering, 11(1), 392–403. https://doi.org/10.1109/TNSE.2023.3299614
  • Wang, M., Liu, X., & Shi, P. (2011). Adaptive neural control of pure-feedback nonlinear time-delay systems via dynamic surface technique. IEEE Transactions on Systems, Man, and Cybernetics, Part B : Cybernetics, 41(6), 1681–1692. https://doi.org/10.1109/TSMCB.2011.2159111
  • Wang, X., & Ji, H. (2012). Leader-follower consensus for a class of nonlinear multi-agent systems. International Journal of Control, Automation and Systems, 10(1), 27–35. https://doi.org/10.1007/s12555-012-0104-3
  • Wang, Y., Chang, Y., Alkhateeb, A. F., & Alotaibi, N. D. (2021). Adaptive fuzzy output-feedback tracking control for switched nonstrict-feedback nonlinear systems with prescribed performance. Circuits, Systems, and Signal Processing, 40(1), 88–113. https://doi.org/10.1007/s00034-020-01466-y
  • Wen, G., Chen, C. L. P., Feng, J., & Zhou, N. (2018). Optimized multi-agent formation control based on an identifier-actor-critic reinforcement learning algorithm. IEEE Transactions on Fuzzy Systems, 26(5), 2719–2731. https://doi.org/10.1109/TFUZZ.2017.2787561
  • Xia, J., Zhang, J., Feng, J., Wang, Z., & Zhuang, G. (2021). Command filter-based adaptive fuzzy control for nonlinear systems with unknown control directions. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(3), 1945–1953.
  • Zhang, H., Lewis, F. L., & Qu, Z. (2012). Lyapunov, adaptive, and optimal design techniques for cooperative systems on directed communication graphs. IEEE Transactions on Industrial Electronics, 59(7), 3026–3041. https://doi.org/10.1109/TIE.2011.2160140
  • Zhang, L., Chen, B., Lin, C., & Shang, Y. (2021). Fuzzy adaptive finite-time consensus tracking control for nonlinear multi-agent systems. International Journal of Systems Science, 52(7), 1346–1358. https://doi.org/10.1080/00207721.2020.1856450
  • Zhang, T., Wen, H., & Zhu, Q. (2010). Adaptive fuzzy control of nonlinear systems in pure feedback form based on input-to-state stability. IEEE Transactions on Fuzzy Systems, 18(1), 80–93. https://doi.org/10.1109/TFUZZ.2009.2036906
  • Zhang, X., Liu, L., & Feng, G. (2015). Leader-follower consensus of time-varying nonlinear multi-agent systems. Automatic, 52, 8–14. https://doi.org/10.1016/j.automatica.2014.10.127
  • Zhou, P., Zhang, L., Zhang, S., & Alkhateeb, A. F. (2021). Observer-based adaptive fuzzy finite-time control design with prescribed performance for switched pure-feedback nonlinear systems. IEEE Access, 9, 69481–69491. https://doi.org/10.1109/ACCESS.2020.3036927
  • Zou, A., Hou, Z., & Tan, M. (2008). Adaptive control of a class of nonlinear pure-feedback systems using fuzzy backstepping approach. IEEE Transactions on Fuzzy Systems, 16(4), 886–897. https://doi.org/10.1109/TFUZZ.2008.917301

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