Event-triggered adaptive fuzzy fault-tolerant control for autonomous underwater vehicles with prescribed tracking performance

References

• Aguiar, A. P., & Hespanha, J. P. (2007). Trajectory-tracking and path-following of underactuated autonomous vehicles with parametric modeling uncertainty. IEEE Transactions on Automatic Control, 52(8), 1362–1379. https://doi.org/https://doi.org/10.1109/TAC.2007.902731
   Web of Science ®Google Scholar
• Bechlioulis, C. P., Karras, G. C., Heshmati-Alamdari, S., & Kyriakopoulos, K. J. (2016). Trajectory tracking with prescribed performance for underactuated underwater vehicles under model uncertainties and external disturbances. IEEE Transactions on Control Systems Technology, 25(2), 429–440. https://doi.org/https://doi.org/10.1109/TCST.2016.2555247
   Web of Science ®Google Scholar
• Chen, G., Yao, D., Zhou, Q., Li, H., & Lu, R. (2021). Distributed event-triggered formation control of USVs with prescribed performance. Journal of Systems Science and Complexity. https://doi.org/https://doi.org/10.1007/s11424-021-0150-0
   Web of Science ®Google Scholar
• Cui, R. X., Yang, C. G., Li, Y., & Sharma, S. J. (2017). Adaptive neural network control of AUVs with control input nonlinearities using reinforcement learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(6), 1019–1029. https://doi.org/https://doi.org/10.1109/TSMC.2016.2645699
   Web of Science ®Google Scholar
• Du, P. H., Pan, Y. N., Li, H. Y., & Lam, H. K. (2020). Nonsingular finite-time event-triggered fuzzy control for large-scale nonlinear systems. IEEE Transactions on Fuzzy Systems, 29(8), 2088–2099. https://doi.org/https://doi.org/10.1109/TFUZZ.2020.2992632
   Web of Science ®Google Scholar
• Ilchmann, A., Ryan, E. P., & Sangwin, C. J. (2002). Tracking with prescribed transient behaviour. ESAIM: Control, Optimisation and Calculus of Variations, 7, 1019–1029. https://doi.org/https://doi.org/10.1051/cocv:2002064
   Web of Science ®Google Scholar
• Jia, T., Pan, Y., Liang, H., & Lam, H. K. (2021). Event-based adaptive fixed-time fuzzy control for active vehicle suspension systems with time-varying displacement constraint. IEEE Transactions on Fuzzy Systems. https://doi.org/https://doi.org/10.1109/TFUZZ.2021.3075490
   Web of Science ®Google Scholar
• Kim, J., Joe, H., Yu, S., Lee, J. S., & Kim, M. (2015). Time-delay controller design for position control of autonomous underwater vehicle under disturbances. IEEE Transactions on Industrial Electronics, 63(2), 1052–1061. https://doi.org/https://doi.org/10.1109/TIE.2015.2477270
   Web of Science ®Google Scholar
• Li, H., Wu, Y., Chen, M., & Lu, R. Q. (2021). Adaptive multigradient recursive reinforcement learning event-triggered tracking control for multiagent systems. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/https://doi.org/10.1109/TNNLS.2021.3090570
   Web of Science ®Google Scholar
• Li, J. H., Lee, P. M., Hong, S. W., & Lee, S. J. (2007). Stable nonlinear adaptive controller for an autonomous underwater vehicle using neural networks. International Journal of Systems Science, 38(4), 327–337. https://doi.org/https://doi.org/10.1080/00207720601160165
   Web of Science ®Google Scholar
• Li, S. H., & Wang, X. Y. (2013). Finite-time consensus and collision avoidance control algorithms for multiple AUVs. Automatica, 49(11), 3359–3367. https://doi.org/https://doi.org/10.1016/j.automatica.2013.08.003
   Web of Science ®Google Scholar
• Li, S. H., Wang, X. Y., & Zhang, L. J. (2014). Finite-time output feedback tracking control for autonomous underwater vehicles. IEEE Journal of Oceanic Engineering, 40(3), 727–751. https://doi.org/https://doi.org/10.1109/JOE.48
   Web of Science ®Google Scholar
• Li, Y. X. (2019). Finite time command filtered adaptive fault tolerant control for a class of uncertain nonlinear systems. Automatica, 106(1), 117–123. https://doi.org/https://doi.org/10.1016/j.automatica.2019.04.022
   Web of Science ®Google Scholar
• Li, Y. X. (2020). Barrier Lyapunov function-based adaptive asymptotic tracking of nonlinear systems with unknown virtual control coefficients. Automatica, 121(9), 109181. https://doi.org/https://doi.org/10.1016/j.automatica.2020.109181
   Web of Science ®Google Scholar
• Liang, H., Liu, G., Zhang, H., & Huang, T. (2021). Neural-network-based event-triggered adaptive control of nonaffine nonlinear multiagent systems with dynamic uncertainties. IEEE Transactions on Neural Networks and Learning Systems, 32(5), 2239–2250. https://doi.org/https://doi.org/10.1109/TNNLS.2020.3003950.
   PubMed Web of Science ®Google Scholar
• Liang, H. J., Guo, X. Y., Pan, Y. N., & Huang, T. W. (2021). Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers. IEEE Transactions on Fuzzy Systems, 29(6), 1601–1614. https://doi.org/https://doi.org/10.1109/TFUZZ.2020.2982618
   Web of Science ®Google Scholar
• Lin, G., Li, H., Ma, H., Yao, D., & Lu, R. (2020). Human-in-the-loop consensus control for nonlinear multi-agent systems with actuator faults. IEEE/CAA Journal of Automatica Sinica. https://doi.org/https://doi.org/10.1109/JAS.2020.1003596
   Google Scholar
• Liu, C. G., Wang, H. Q., Liu, X. P., & Zhou, Y. C. (2021). Adaptive finite-time fuzzy funnel control for nonaffine nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(5), 2894–2903. https://doi.org/https://doi.org/10.1109/TSMC.2019.2917547
   Web of Science ®Google Scholar
• Liu, J. C., Wan, L., & Dai, J. (2003). Thruster fault-tolerant control of an autonomous underwater vehicle. Robot, 25(2), 163–166.
   Google Scholar
• Liu, Y. H., Su, C. Y., & Zhou, Q. (2019). Funnel control of uncertain high-order nonlinear systems with unknown rational powers. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(9), 5732–5741. https://doi.org/https://doi.org/10.1109/TSMC.2019.2956672
   Web of Science ®Google Scholar
• Liu, Y. J., & Tong, S. C. (2016). Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints. Automatica, 64(3), 70–75. https://doi.org/https://doi.org/10.1016/j.automatica.2015.10.034
   Web of Science ®Google Scholar
• Liu, Y. J., & Tong, S. C. (2017). Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems. Automatica, 76(1–4), 143–152. https://doi.org/https://doi.org/10.1016/j.automatica.2016.10.011
   Web of Science ®Google Scholar
• Liu, Y. J., Zeng, Q., Tong, S. C., Chen, C. L. P., & Liu, L. (2019). Actuator failure compensation-based adaptive control of active suspension systems with prescribed performance. IEEE Transactions on Industrial Electronics, 67(8), 7044–7053. https://doi.org/https://doi.org/10.1109/TIE.41
   Web of Science ®Google Scholar
• Ma, H. J., Yang, G. H., & Chen, T. W. (2021). Event-triggered optimal dynamic formation of heterogeneous affine nonlinear multi-agent systems. IEEE Transactions on Automatic Control, 66(2), 497–512. https://doi.org/https://doi.org/10.1109/TAC.9
   Web of Science ®Google Scholar
• Omerdic, E., & Roberts, G. (2004). Thruster fault diagnosis and accommodation for open-frame underwater vehicles. Control Engineering Practice, 12(12), 1575–1598. https://doi.org/https://doi.org/10.1016/j.conengprac.2003.12.014
   Web of Science ®Google Scholar
• Pan, Y. N., Du, P. H., Xue, H., & H. K. Lam (2020). Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance. IEEE Transactions on Fuzzy Systems, 29(8), 2388–2398. https://doi.org/https://doi.org/10.1109/TFUZZ.2020.2999746
   Web of Science ®Google Scholar
• Qiao, L., & Zhang, W. D. (2018). Adaptive second-order fast nonsingular terminal sliding mode tracking control for fully actuated autonomous underwater vehicles. IEEE Journal of Oceanic Engineering, 44(2), 363–385. https://doi.org/https://doi.org/10.1109/JOE.48
   Web of Science ®Google Scholar
• Rezazadegan, F., Shojaei, K., Sheikholeslam, F., & Chatraei, A. (2015). A novel approach to 6-DOF adaptive trajectory tracking control of an AUV in the presence of parameter uncertainties. Ocean Engineering, 107(11–12), 246–258. https://doi.org/https://doi.org/10.1016/j.oceaneng.2015.07.040
   Web of Science ®Google Scholar
• Sarkar, N., Podder, T. K., & Antonelli, G. (2002). Fault-accommodating thruster force allocation of an AUV considering thruster redundancy and saturation. IEEE Transactions on Robotics and Automation, 18(2), 223–233. https://doi.org/https://doi.org/10.1109/TRA.2002.999650
   Google Scholar
• Shangguan, X. C., He, Y., C. K. Zhang, Jin, L., Yao, W., Jiang, L., & Wu, M. (2021). Control performance standards-oriented event-triggered load frequency control for power systems under limited communication bandwidth. IEEE Transactions on Control Systems Technology. https://doi.org/https://doi.org/10.1109/TCST.2021.3070861
   Web of Science ®Google Scholar
• Sun, J., Zhang, H., Wang, Y., & Sun, S. (2020). Fault-tolerant control for stochastic switched IT2 fuzzy uncertain time-delayed nonlinear systems. IEEE Transactions on Cybernetics. https://doi.org/https://doi.org/10.1109/TCYB.2020.2997348
   Web of Science ®Google Scholar
• Wang, N., & Er, M. J. (2016). Direct adaptive fuzzy tracking control of marine vehicles with fully unknown parametric dynamics and uncertainties. IEEE Transactions on Control Systems Technology, 24(5), 1845–1852. https://doi.org/https://doi.org/10.1109/TCST.2015.2510587
   Web of Science ®Google Scholar
• Wang, W., & Wen, C. Y. (2010). Adaptive actuator failure compensation control of uncertain nonlinear systems with guaranteed transient performance. Automatica, 46(12), 2082–2091. https://doi.org/https://doi.org/10.1016/j.automatica.2010.09.006
   Web of Science ®Google Scholar
• Wang, W., & Wen, C. Y. (2011). Adaptive compensation for infinite number of actuator failures or faults. Automatica, 47(10), 2197–2210. https://doi.org/https://doi.org/10.1016/j.automatica.2011.08.022
   Web of Science ®Google Scholar
• Wang, X. M., Zerr, B., Thomas, H., Clement, B., & Xie, Z. X. (2020). Pattern formation of multi-AUV systems with the optical sensor based on displacement-based formation control. International Journal of Systems Science, 51(2), 348–367. https://doi.org/https://doi.org/10.1080/00207721.2020.1716096
   Web of Science ®Google Scholar
• Wu, W., & Tong, S. C. (2020). Robust adaptive fuzzy control for non-strict feedback switched nonlinear systems with unmodeled dynamics. International Journal of Systems Science, 52(2), 307–320. https://doi.org/https://doi.org/10.1080/00207721.2020.1827078
   Web of Science ®Google Scholar
• Xing, L. T., Wen, C. Y., Liu, Z. T., Su, H. Y., & Cai, J. P. (2016). Event-triggered adaptive control for a class of uncertain nonlinear systems. IEEE Transactions on Automatic Control, 62(4), 2071–2076. https://doi.org/https://doi.org/10.1109/TAC.2016.2594204
   Web of Science ®Google Scholar
• Yang, L. P., Zhang, M. J., Wang, Y. J., & Wu, J. (2008). Study on simultaneous fault tolerant control of AUV thrusters. In 2008 IEEE International Conference on Automation and Logistics (pp. 105–110).
   Google Scholar
• Yang, X., Yan, J., Hua, C. C., & Guan, X. P. (2021). Trajectory tracking control of autonomous underwater vehicle with unknown parameters and external disturbances. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(2), 1054–1063. https://doi.org/https://doi.org/10.1109/TSMC.6221021
   Web of Science ®Google Scholar
• Yang, Y., Ding, D. W., Xiong, H., Yin, Y., & Wunsch, D. C. (2020). Online barrier-actor-critic learning for H∞ control with full-state constraints and input saturation. Journal of the Franklin Institute, 357(6), 3316–3344. https://doi.org/https://doi.org/10.1016/j.jfranklin.2019.12.017
   Web of Science ®Google Scholar
• Yang, Y., Vamvoudakis, K. G., Modares, H., Yin, Y., & Wunsch, D. C. (2020). Safe intermittent reinforcement learning with static and dynamic event generators. IEEE Transactions on Neural Networks and Learning Systems, 31(12), 5441–5455. https://doi.org/https://doi.org/10.1109/TNNLS.5962385
   PubMed Web of Science ®Google Scholar
• Ye, D., & Yang, G. H. (2006). Adaptive fault-tolerant tracking control against actuator faults with application to flight control. IEEE Transactions on Control Systems Technology, 14(6), 1088–1096. https://doi.org/https://doi.org/10.1109/TCST.2006.883191
   Web of Science ®Google Scholar
• Zhang, H., Zhang, J., Cai, Y., Sun, S., & Sun, J. (2020). Leader-following consensus for a class of nonlinear multiagent systems under event-triggered and edge-event triggered mechanisms. IEEE Transactions on Cybernetics. https://doi.org/https://doi.org/10.1109/TCYB.2020.3035907
   Web of Science ®Google Scholar
• Zhang, Z. C., & Wu, Y. Q. (2021). Adaptive fuzzy tracking control of autonomous underwater vehicles with output constraints. IEEE Transactions on Fuzzy Systems, 29(5), 1311–1319. https://doi.org/https://doi.org/10.1109/TFUZZ.2020.2967294
   Web of Science ®Google Scholar
• Zhang, Z. C., Wu, Y. Q., & Huang, J. M. (2016). Robust adaptive antiswing control of underactuated crane systems with two parallel payloads and rail length constraint. ISA Transactions, 65(9), 275–283. https://doi.org/https://doi.org/10.1016/j.isatra.2016.07.014
   PubMed Web of Science ®Google Scholar
• Zhou, Q., Zhao, S. Y., Li, H. Y., Lu, R. Q., & Wu, C. W. (2018). Adaptive neural network tracking control for robotic manipulators with dead zone. IEEE Transactions on Neural Networks and Learning Systems, 30(12), 3611–3620. https://doi.org/https://doi.org/10.1109/TNNLS.5962385
   PubMed Web of Science ®Google Scholar