REFERENCES
1. Huang, H.; He, W.; Chen, Z.; Niu, T.; Fu, Q. Development and experimental characterization of a robotic butterfly with a mass shifter mechanism. Biomimetic. Intell. Robot. 2022, 2, 100076.
2. He, W.; Mu, X.; Zhang, L.; Zou, Y. Modeling and trajectory tracking control for flapping-wing micro aerial vehicles. IEEE/CAA. J. Autom. Sin. 2021, 8, 148-56.
3. Wu, C.; Xiao, Y.; Zhao, J.; Cui, F.; Wu, X.; Liu, W. JingWei: a waterfowl-inspired flapping-wing robot with multimodal aerial-aquatic mobility. IEEE. Robot. Autom. Lett. 2025, 10, 11046-53.
4. Chen, Y.; Pérez-Arancibia, N. O. Adaptive control of a VTOL uncrewed aerial vehicle for high-performance aerobatic flight. Automatica 2024, 159, 109922.
5. Zheng, Z.; Li, J.; Guan, Z.; Zuo, Z. Constrained moving path following control for UAV with robust control barrier function. IEEE/CAA. J. Autom. Sin. 2023, 10, 1557-70.
6. Xu, B.; Suleman, A.; Shi, Y. A multi-rate hierarchical fault-tolerant adaptive model predictive control framework: theory and design for quadrotors. Automatica 2023, 153, 111015.
7. Dong, F.; Yuan, B.; Zhao, X.; Ding, Z.; Chen, S. Adaptive robust constraint-following control for morphing quadrotor UAV with uncertainty: a segmented modeling approach. J. Franklin. Inst. 2024, 361, 106678.
8. Zhao, Z.; Zhang, J.; Liu, Z.; He, W.; Hong, K. S. Adaptive quantized fault-tolerant control of a 2-DOF helicopter system with actuator fault and unknown dead zone. Automatica 2023, 148, 110792.
9. Zhao, W.; Liu, H.; Lewis, F. L. Data-driven fault-tolerant control for attitude synchronization of nonlinear quadrotors. IEEE. Trans. Autom. Control. 2021, 66, 5584-91.
10. Liu, Y.; Dong, X.; Shi, P.; Ren, Z.; Liu, J. Distributed fault-tolerant formation tracking control for multiagent systems with multiple leaders and constrained actuators. IEEE. Trans. Cybern. 2023, 53, 3738-47.
11. Ma, Y.; Jiang, B.; Wang, J.; Gong, J. Adaptive fault-tolerant formation control for heterogeneous UAVs-UGVs systems with multiple actuator faults. IEEE. Trans. Aerosp. Electron. Syst. 2023, 59, 6705-16.
12. Hu, Y.; Yan, H.; Wang, M.; Hu, X.; Li, Z. Fuzzy observer-based input/output event-triggered control for Euler–lagrange systems with guaranteed performance and input saturation. IEEE. Trans. Fuzzy. Syst. 2024, 32, 2077-88.
13. Ren, Y.; Sun, Y.; Liu, Z.; Lam, H. K. Parameter-optimization-based adaptive fault-tolerant control for a quadrotor UAV using fuzzy disturbance observers. IEEE. Trans. Fuzzy. Syst. 2025, 33, 593-605.
14. Kong, L.; He, W.; Yang, C.; Li, Z.; Sun, C. Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning. IEEE. Trans. Cybern. 2019, 49, 3052-63.
15. Zhang, F.; Dai, P.; Na, J.; Gao, G.; Shi, Y.; Liu, F. Adaptive fuzzy tracking control for a class of uncertain nonlinear systems with improved prescribed performance. IEEE. Trans. Fuzzy. Syst. 2025, 33, 1133-45.
16. Yu, D.; Ma, S.; Liu, Y. J.; Wang, Z.; Chen, C. L. P. Finite-time adaptive fuzzy backstepping control for quadrotor UAV with stochastic disturbance. IEEE. Trans. Autom. Sci. Eng. 2024, 21, 1335-45.
17. Su, M.; Pu, R.; Wang, Y.; Yu, M. A collaborative siege method of multiple unmanned vehicles based on reinforcement learning. Intell. Robot. 2024, 4, 39-60.
18. Dong, L.; He, Z.; Song, C.; Sun, C. A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures. J. Syst. Eng. Electron. 2023, 34, 439-59.
19. Zhang, H.; He, L.; Wang, D. Deep reinforcement learning for real-world quadrupedal locomotion: a comprehensive review. Intell. Robot. 2022, 2, 275-97.
20. Wen, G.; Yu, D.; Zhao, Y. Optimized fuzzy attitude control of quadrotor unmanned aerial vehicle using adaptive reinforcement learning strategy. IEEE. Trans. Aerosp. Electron. Syst. 2024, 60, 6075-83.
21. Wen, G.; Niu, B. Optimized distributed formation control using identifier–critic–actor reinforcement learning for a class of stochastic nonlinear multi-agent systems. ISA. Trans. 2024, 155, 1-10.
22. Han, M.; Zhang, L.; Wang, J.; Pan, W. Actor-critic reinforcement learning for control with stability guarantee. IEEE. Robot. Autom. Lett. 2020, 5, 6217-24.
23. Ouyang, Y.; Xue, L.; Dong, L.; Sun, C. Neural network-based finite-time distributed formation-containment control of two-Layer quadrotor UAVs. IEEE. Trans. Syst. Man. Cybern. Syst. 2022, 52, 4836-48.
24. Ouyang, Y.; Sun, C.; Dong, L. Actor–critic learning based coordinated control for a dual-arm robot with prescribed performance and unknown backlash-like hysteresis. ISA. Trans. 2022, 126, 1-13.
25. Zhou, Z. G.; Zhou, D.; Chen, X.; Shi, X. N. Adaptive actor-critic learning-based robust appointed-time attitude tracking control for uncertain rigid spacecrafts with performance and input constraints. Adv. Space. Res. 2023, 71, 3574-87.
26. Han, H.; Cheng, J.; Xi, Z.; Lv, M. Symmetric actor–critic deep reinforcement learning for cascade quadrotor flight control. Neurocomputing 2023, 559, 126789.
27. Yang, S.; Pan, Y.; Cao, L.; Chen, L. Predefined-time fault-tolerant consensus tracking control for Multi-UAV systems with prescribed performance and attitude constraints. IEEE. Trans. Aerosp. Electron. Syst. 2024, 60, 4058-72.
28. Yu, Z.; Li, J.; Xu, Y.; Zhang, Y.; Jiang, B.; Su, C. Y. Reinforcement learning-based fractional-order adaptive fault-tolerant formation control of networked fixed-wing UAVs with prescribed performance. IEEE. Trans. Neural. Netw. Learn. Syst. 2024, 35, 3365-79.
29. Aforozi, T. A.; Rovithakis, G. A. Prescribed performance tracking for uncertain MIMO pure-feedback systems with unknown and partially nonconstant control directions. IEEE. Trans. Autom. Control. 2024, 69, 7285-92.
30. Wang, X.; Kong, L.; Meng, T.; Xia, J.; He, W. Event-triggered tracking control for a flapping-wing aerial vehicle with prescribed performance. IEEE. Trans. Aerosp. Electron. Syst. 2025, 61, 17476-87.
31. Li, Z.; Wang, X.; Guo, H.; Xi, L.; Liu, G.; Li, Y. Distributed output feedback prescribed performance control for high-order nonlinear multi-agent systems. IEEE. Trans. Autom. Sci. Eng. 2025, 22, 12730-40.
32. Li, D.; Ma, G.; Li, C.; He, W.; Mei, J.; Ge, S. S. Distributed attitude coordinated control of multiple spacecraft with attitude constraints. IEEE. Trans. Aerosp. Electron. Syst. 2018, 54, 2233-45.
33. Ouyang, Y.; Dong, L.; Wei, Y.; Sun, C. Neural network based tracking control for an elastic joint robot with input constraint via actor-critic design. Neurocomputing 2020, 409, 286-95.
34. Wang, X.; Wang, Q.; Sun, C. Prescribed performance fault-tolerant control for uncertain nonlinear MIMO system using actor–critic learning structure. IEEE. Trans. Neural. Netw. Learn. Syst. 2022, 33, 4479-90.






