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Research Articles

Finite-time command filter-based adaptive fuzzy output-feedback control for MIMO nonlinear systems with multiple actuator constraints

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Pages 1926-1944 | Received 28 Aug 2022, Accepted 22 Apr 2023, Published online: 10 May 2023

References

  • Bhat, S. P., & Bernstein, D. S. (1998). Continuous finite-time stabilization of the translational and rotational double integrators. IEEE Transactions on Automatic Control, 43(5), 678–682. https://doi.org/10.1109/9.668834
  • Bhat, S. P., & Bernstein, D. S. (2000). Finite-time stability of continuous autonomous systems. SIAM Journal on Control and Optimization, 38(3), 751–766. https://doi.org/10.1137/S0363012997321358
  • Chen, M., Ge, S. S., & How, B. V. E. (2010). Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities. IEEE Transactions on Neural Networks, 21(5), 796–812. https://doi.org/10.1109/TNN.2010.2042611
  • Chen, M., Tao, G., & Jiang, B. (2017). Dynamic surface control using neural networks for a class of uncertain nonlinear systems with input saturation. IEEE Transactions on Neural Networks and Learning Systems, 26(9), 2086–2097. https://doi.org/10.1109/TNNLS.2014.2360933
  • Chen, Z., Li, Z., & Chen, C. L. P. (2017). Adaptive neural control of uncertain MIMO nonlinear systems with state and input constraints. IEEE Transactions on Neural Networks and Learning Systems, 28(6), 1318–1330. https://doi.org/10.1109/TNNLS.2016.2538779
  • Cui, D., Wu, Y., & Xiang, Z. (2021). Finite-time adaptive fault-tolerant tracking control for nonlinear switched systems with dynamic uncertainties. International Journal of Robust and Nonlinear Control, 31(8), 2976–2992. https://doi.org/10.1002/rnc.5429
  • Cui, G., Yu, J., & Shi, P. (2022). Observer-based finite-time adaptive fuzzy control with prescribed performance for nonstrict-feedback nonlinear systems. IEEE Transactions on Fuzzy Systems, 30(3), 767–778. https://doi.org/10.1109/TFUZZ.2020.3048518
  • Dong, W., Farrell, J. A., Polycarpou, M. M., Djapic, V., & Sharma, M. (2012). Command filtered adaptive backstepping. IEEE Transactions on Control Systems Technology, 20(3), 566–580. https://doi.org/10.1109/TCST.2011.2121907
  • Farrell, J. A., Polycarpou, M., Sharma, M., & Dong, W. (2009). Command filtered backstepping. IEEE Transactions on Automatic Control, 54(6), 1391–1395. https://doi.org/10.1109/TAC.2009.2015562
  • Gao, Z., & Ding, X. (2007). Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems. Automatica, 43(5), 912–920. https://doi.org/10.1016/j.automatica.2006.11.018
  • Hornik, K., Stinchcombe, M., & White, H. (1989). Fixed-time adaptive fuzzy control for uncertain strict feedback switched systems. Information Sciences, 2(5), 359–366. https://doi.org/10.1016/0893-6080(89)90020-8
  • Huang, L., Li, Y., & Tong, S. (2020). Fuzzy adaptive output feedback control for MIMO switched nontriangular structure nonlinear systems with unknown control directions. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(2), 550–564. https://doi.org/10.1109/TSMC.2017.2778099
  • Li, H., Bai, L., Zhou, Q., Lu, R., & Wang, L. (2017). Adaptive fuzzy control of stochastic nonstrict-feedback nonlinear systems with input saturation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), 2185–2197. https://doi.org/10.1109/TSMC.2016.2635678
  • Li, Y., Li, K., & Tong, S. (2019). Finite-time adaptive fuzzy output feedback dynamic surface control for MIMO nonstrict feedback systems. IEEE Transactions on Fuzzy Systems, 27(1), 96–110. https://doi.org/10.1109/TFUZZ.2018.2868898
  • Li, T. S., Tong, S. C., & Feng, G. (2010). A novel robust adaptive-fuzzy-tracking control for a class of nonlinear multi-input/multi-output systems. IEEE Transactions on Fuzzy Systems, 18(1), 150–160. https://doi.org/10.1109/TFUZZ.2009.2038277
  • Li, Y., & Yang, G. (2017). Adaptive fuzzy decentralized control for a class of large-scale nonlinear systems with actuator faults and unknown dead zones. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(3), 506–515. https://doi.org/10.1109/TSMC.2018.2855170
  • Li, H., Zhao, S., He, W., & Lu, R. (2019). Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone. Automatica, 100, 99–107. https://doi.org/10.1016/j.automatica.2018.10.030
  • Liu, Y. J., Gao, Y., Tong, S., & Li, Y. (2016). Fuzzy approximation-based adaptive backstepping optimal control for a class of nonlinear discrete-time systems with dead-zone. IEEE Transactions on Fuzzy Systems, 24(1), 16–28. https://doi.org/10.1109/TFUZZ.2015.2418000
  • Liu, L., Liu, Y., & Tong, S. (2019). Neural networks-based adaptive finite-time fault-tolerant control for a class of strict-feedback switched nonlinear systems. IEEE Transactions on Cybernetics, 49(7), 2536–2545. https://doi.org/10.1109/TCYB.2018.2828308
  • Liu, J. D., Niu, B., Kao, Y. G., Zhao, P., & Yang, D. (2021). Decentralized adaptive command filtered neural tracking control of large-scale nonlinear systems: an almost fast finite-time framework. IEEE Transactions on Neural Networks and Learning Systems, 32(8), 3621–3632. https://doi.org/10.1109/TNNLS.2020.3015847
  • Liu, C., Wang, H., Liu, X., & Zhou, Y. (2020). Adaptive fuzzy funnel control for nonlinear systems with input deadzone and saturation. International Journal of Systems Science, 51(9), 1542–1555. https://doi.org/10.1080/00207721.2020.1766153
  • Liu, S., Wang, L., & Wei, G. (2022). Finite-horizon H∞ filtering via a high-rate network with the flexRay protocol. IEEE Transactions on Automatic Control. https://doi.org/10.1109/TAC.2022.3190791
  • Ma, J., Wang, H., & Qiao, J. (2022). Adaptive neural fixed-time tracking control for high-order nonlinear systems. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2022.3176625
  • Ma, , Zong, G., Zhao, X., & Huo, X. (2020). Observed-based adaptive finite-time tracking control for a class of nonstrict-feedback nonlinear systems with input saturation. Journal of the Franklin Institute, 357(16), 11518–11544. https://doi.org/10.1016/j.jfranklin.2019.07.021
  • Shi, X., Lim, C., Shi, P., & Xu, S. (2018). Adaptive neural dynamic surface control for nonstrict-feedback systems with output dead zone. IEEE Transactions on Neural Networks and Learning Systems, 29(11), 5200–5213. https://doi.org/10.1109/TNNLS.2018.2793968
  • Sui, S., Xu, H., Tong, S., & Chen, C. L. P. (2022). A novel prescribed performance fuzzy adaptive output feedback control for nonlinear MIMO systems in finite-time. IEEE Transactions on Fuzzy Systems, 30(9), 3633–3644. https://doi.org/10.1109/TFUZZ.2021.3119750
  • Sun, Y., Chen, B., Lin, C., & Wang, H. (2018). Finite-time adaptive control for a class of nonlinear systems with nonstrict feedback structure. IEEE Transactions on Cybernetics, 48(10), 2774–2782. https://doi.org/10.1109/TCYB.2017.2749511
  • Sun, W., Su, S., Xia, J., & Zhuang, G. (2021). Command filter-based adaptive prescribed performance tracking control for stochastic uncertain nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(10), 6555–6563. https://doi.org/10.1109/TSMC.2019.2963220
  • Tong, S., & Li, Y. (2013). Adaptive fuzzy output feedback control of MIMO nonlinear systems with unknown dead-zone inputs. IEEE Transactions on Fuzzy Systems, 21(1), 134–146. https://doi.org/10.1109/TFUZZ.2012.2204065
  • Tong, S., Li, Y., & Shi, P. (2012). Observer-based adaptive fuzzy backstepping output feedback control of uncertain MIMO pure-feedback nonlinear systems. IEEE Transactions on Fuzzy Systems, 20(4), 771–785. https://doi.org/10.1109/TFUZZ.2012.2183604
  • Wang, H., Bai, W., Zhao, X., & Liu, P. X. (2022). Finite-time-prescribed performance-based adaptive fuzzy control for strict-feedback nonlinear systems with dynamic uncertainty and actuator faults. IEEE Transactions on Cybernetics, 52(7), 6959–6971. https://doi.org/10.1109/TCYB.2020.3046316
  • Wang, L., & Chen, C. L. P. (2020). Adaptive fuzzy dynamic surface control of nonlinear constrained systems with unknown virtual control coefficients. IEEE Transactions on Fuzzy Systems, 28(8), 1737–1747. https://doi.org/10.1109/TFUZZ.2019.2921277
  • Wang, M., Chen, B., & Shi, P. (2008). Adaptive neural control for a class of perturbed strict-feedback nonlinear time-delay systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 38(3), 721–730. https://doi.org/10.1109/TSMCB.2008.918568
  • Wang, M., Huang, L., & Yang, C. (2021). NN-based adaptive tracking control of discretetime nonlinear systems with actuator saturation and event-triggering protocol. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(12), 7613–7621. https://doi.org/10.1109/TSMC.2020.2981954
  • Wang, H., Kang, S., Zhao, X., Xu, N., & Li, T. (2022). Command filter-based adaptive neural control design for nonstrict-feedback nonlinear systems with multiple actuator constraints. IEEE Transactions on Cybernetics, 52(11), 12561–12570. https://doi.org/10.1109/TCYB.2021.3079129
  • Wang, F., Liu, Z., Zhang, Y., & Chen, C. L. P. (2016). Adaptive fuzzy control for a class of stochastic pure-feedback nonlinear systems with unknown hysteresis. IEEE Transactions on Fuzzy Systems, 24(1), 140–152. https://doi.org/10.1109/TFUZZ.2015.2446531
  • Wang, F., Liu, Z., Zhang, Y., Chen, X., & Chen, C. (2014). Adaptive fuzzy dynamic surface control for a class of nonlinear systems with fuzzy dead zone and dynamic uncertainties. Nonlinear Dynamics, 79(3), 1693–1709. https://doi.org/10.1007/s11071-014-1768-4
  • Wang, L. X., & Mendel, J. M. (1992). Fuzzy basis functions, universal approximation, and orthogonal least-squares learning. IEEE Transactions on Neural Networks, 3(5), 807–814. https://doi.org/10.1109/72.159070
  • Wang, Y., Shi, P., Lim, C., & Liu, Y. (2016). Event-triggered fault detection filter design for a continuous-time networked control system. IEEE Transactions on Cybernetics, 46(12), 3414–3426. https://doi.org/10.1109/TCYB.2015.2507177
  • Wang, X. S., Su, C. Y., & Hong, H. (2004). Robust adaptive control of a class of nonlinear systems with unknown dead-zone. Automatica, 40(3), 407–413. https://doi.org/10.1016/j.automatica.2003.10.021
  • Wang, H., Tong, M., Zhao, X., Niu, B., & Yang, M. (2022). Predefined-time adaptive neural tracking control of switched nonlinear systems. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2022.3204275
  • Wang, M., Wang, Z., Chen, Y., & Sheng, W. (2020). Observer-based fuzzy output-feedback control for discrete-time strict-feedback nonlinear systems with stochastic noises. IEEE Transactions on Cybernetics, 50(8), 3766–3777. https://doi.org/10.1109/TCYB.2019.2902520
  • Wang, L., Wang, H., & Liu, P. X. (2021). Adaptive fuzzy finite-time control of stochastic nonlinear systems with actuator faults. Nonlinear Dynamics, 104(1), 523–536. https://doi.org/10.1007/s11071-021-06309-2
  • Wang, H., Xu, K., & Zhang, H. (2022). Adaptive finite-time tracking control of nonlinear systems with dynamics uncertainties. IEEE Transactions on Automatic Control. https://doi.org/10.1109/TAC.2022.3226703
  • Yang, Y., Yue, D., & Xue, Y. (2020). Decentralized adaptive neural output feedback control of a class of large-scale time-delay systems with input saturation. Journal of the Franklin Institute, 352(5), 2129–2151. https://doi.org/10.1016/j.jfranklin.2015.02.009
  • Yu, J., Shi, P., Dong, W., & Lin, C. (2018). Adaptive fuzzy control of nonlinear systems with unknown dead zones based on command filtering. IEEE Transactions on Fuzzy Systems, 26(1), 46–55. https://doi.org/10.1109/TFUZZ.2016.2634162
  • Yu, J., Shi, P., & Zhao, L. (2018). Finite-time command filtered backstepping control for a class of nonlinear systems. Automatica, 92, 173–180. https://doi.org/10.1016/j.automatica.2018.03.033
  • Yu, J., & Yu, H. (2015). Observer and command-filter-based adaptive fuzzy output feedback control of uncertain nonlinear systems. IEEE Transactions on Industrial Electronics, 62(9), 5962–5970. https://doi.org/10.1109/TIE.2015.2418317
  • Yu, J., Zhao, L., Yu, H., Lin, C., & Dong, W. (2018). Fuzzy finite-time command filtered control of nonlinear systems with input saturation. IEEE Transactions on Cybernetics, 48(8), 2378–2387. https://doi.org/10.1109/TCYB.2017.2738648
  • Zhang, H., Liu, Y., Dai, J., & Wang, Y. (2021). Command filter based adaptive fuzzy finite-time control for a class of uncertain nonlinear systems with hysteresis. IEEE Transactions on Fuzzy Systems, 29(9), 2553–2564. https://doi.org/10.1109/TFUZZ.2020.3003499
  • Zhang, L., & Yang, G. (2018). Observer-based fuzzy adaptive sensor fault compensation for uncertain nonlinear strict-feedback systems. IEEE Transactions on Fuzzy Systems, 26(4), 2301–2310. https://doi.org/10.1109/TFUZZ.2017.2772879
  • Zhang, C., & Yang, G. (2020). Event-triggered adaptive output feedback control for a class of uncertain nonlinear systems with actuator failures. IEEE Transactions on Cybernetics, 50(1), 201–210. https://doi.org/10.1109/TCYB.2018.2868169

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