[1] He W, Chen Y, and Yin Z, Adaptive neural network control of an uncertain robot with full-state constraints, IEEE Transactions on Cybernetics, 2016, 46(3): 620-629.
[2] Niu B, Wang X, Wang X, et al., Adaptive barrier-Lyapunov-functions based control scheme of nonlinear pure-feedback systems with full state constraints and asymptotic tracking performance, Journal of Systems Science & Complexity, 2024, 37(3): 965-984.
[3] Yu J, Fu C, Liu J, et al., Barrier Lyapunov function-based finite-time dynamic surface control for output-constrained nonstrict-feedback systems, Journal of Systems Science & Complexity, 2023, 36(2): 524-539.
[4] Zhao K, Song Y, Chen C L P, et al., Control of nonlinear systems under dynamic constraints: A unified barrier function-based approach, Automatica, 2020, 119: 109102.
[5] Liu L, Gao T, Liu Y J, et al., Time-varying asymmetrical BLFs based adaptive finite-time neural control of nonlinear systems with full state constraints, IEEE/CAA Journal of Automatica Sinica, 2020, 7(5): 1335-1343.
[6] Gao T, Liu Y J, Li D, et al., Adaptive neural control using tangent time-varying BLFs for a class of uncertain stochastic nonlinear systems with full state constraints, IEEE Transactions on Cybernetics, 2021, 51(4): 1943-1953.
[7] Liu B, Hou M, Ni J, et al., Asymmetric integral barrier Lyapunov function-based adaptive tracking control considering full-state with input magnitude and rate constraint, Journal of the Franklin Institute, 2020, 357(14): 9709-9732.
[8] Tang Z L, Ge S S, Tee K P, et al., Robust adaptive neural tracking control for a class of perturbed uncertain nonlinear systems with state constraints, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 46(12): 1618-1629.
[9] Zhang T, Xia M, and Yi Y, Adaptive neural dynamic surface control of strict-feedback nonlinear systems with full state constraints and unmodeled dynamics, Automatica, 2017, 81: 232-239.
[10] Zhao K and Song Y, Removing the feasibility conditions imposed on tracking control designs for state-constrained strict-feedback systems, IEEE Transactions on Automatic Control, 2019, 64(3): 1265-1272.
[11] Zhao K, Song Y, and Zhang Z, Tracking control of MIMO nonlinear systems under full state constraints: A single-parameter adaptation approach free from feasibility conditions, Automatica, 2019, 107: 52-60.
[12] Cao Ye, Wen C, and Song Y, A unified event-triggered control approach for uncertain purefeedback systems with or without state constraints, IEEE Transactions on Cybernetics, 2021, 51(3): 1262-1271.
[13] Cui D, Ahn C K, Sun Y, et al., Mode-dependent state observer-based prescribed performance control of switched systems, IEEE Transactions on Circuits and Systems II: Express Briefs, 2024, 71(8): 3810-3814.
[14] Xu H, Yu D, and Liu Y J, Observer-based fuzzy adaptive predefined time control for uncertain nonlinear systems with full-state error constraints, IEEE Transactions on Fuzzy Systems, 2024, 32(3): 1370-1382.
[15] Sui S, Shen D, Bi W, et al., Observer-based event-triggered bipartite consensus for nonlinear multi-agent systems: Asymmetric full-state constraints, IEEE Transactions on Automation Science and Engineering, 2025, 22: 168-178.
[16] Wang F, Ma Z, Zhou C, et al., Fixed-time controller design for a quadrotor UAV with asymmetric output error constraints, Journal of Systems Science & Complexity, 2023, 36(5): 1981-2000.
[17] Zhu C, Jiang Y, and Yang C, Neural control of uncertain robot manipulator with fixed-time convergence, Nonlinear Dynamics, 2022, 109(2): 849-861.
[18] Gao Z, Zhang Y, and Guo G, Fixed-time leader-following formation control of fully-actuated underwater vehicles without velocity measurements, Journal of Systems Science & Complexity, 2022, 35(2): 559-585.
[19] Cui D, Chadli M, and Xiang Z, Fuzzy fault-tolerant predefined-time control for switched systems: A singularity-free method, IEEE Transactions on Fuzzy Systems, 2024, 32(3): 1223-1232.
[20] Cui D, Ahn C K, and Xiang Z, Fault-tolerant fuzzy observer-based fixed-time tracking control for nonlinear switched systems, IEEE Transactions on Fuzzy Systems, 2023, 31(12): 4410-4420.
[21] Polyakov A, Nonlinear feedback design for fixed-time stabilization of linear control systems, IEEE Transactions on Automatic Control, 2012, 57(8): 2106-2110.
[22] Shen G, Huang P, Ma Z, et al., Dynamic event-based adaptive fixed-time control for uncertain strict-feedback nonlinear systems with state constraints, IEEE Transactions on Cybernetics, 2024, 54(8): 4630-4642.
[23] Guo C, Hu J, Wu Y, et al., Non-singular fixed-time tracking control of uncertain nonlinear purefeedback systems with practical state constraints, IEEE Transactions on Circuits and Systems I: Regular Papers, 2023, 70(9): 3746-3758.
[24] Zuo Z, Nonsingular fixed-time consensus tracking for second-order multi-agent networks, Automatica, 2015, 54: 305-309.
[25] Jin X, Adaptive fixed-time control for MIMO nonlinear systems with asymmetric output constraints using universal barrier functions, IEEE Transactions on Automatic Control, 2019, 64(7): 3046-3053.
[26] Zhou P, Hu X, and Dong Y, Adaptive output observer for a nonautonomous leader system over periodic switching topologies and its applications to the formation control of offshore vessels, International Journal of Robust and Nonlinear Control, 2023, 33(15): 9433-9449.
[27] Wang C and Lin Y, Multivariable adaptive backstepping control: A norm estimation approach, IEEE Transactions on Automatic Control, 2012, 57(4): 989-995.
[28] Chen C, Liu Z, Xie K, et al., Asymptotic adaptive control of nonlinear systems with elimination of overparametrization in a Nussbaum-like design, Automatica, 2018, 98: 277-284.
[29] Dong Y and Xu S, Adaptive cooperative output regulation of nonlinear multi-agent systems with arbitrarily large parametric uncertainties and an uncertain leader, International Journal of Robust and Nonlinear Control, 2019, 29(6): 1680-1693.
[30] Yuan X, Chen B, and Lin C, Neural adaptive fixed-time control for nonlinear systems with full-state constraints, IEEE Transactions on Cybernetics, 2023, 53(5): 3048-3059.
[31] Yao Y, Kang Y, Zhao Y, et al., Unified fuzzy control of high-order nonlinear systems with multitype state constraints, IEEE Transactions on Cybernetics, 2024, 54(4): 2525-2535.
[32] Xu H, Yu D, Sui S, et al., An event-triggered predefined time decentralized output feedback fuzzy adaptive control method for interconnected systems, IEEE Transactions on Fuzzy Systems, 2023, 31(2): 631-644.
[33] Sui S, Chen C L P, and Tong S, Command filter based predefined time adaptive control for nonlinear systems, IEEE Transactions on Automatic Control, 2024, 69(11): 7863-7870.
[34] Chen J and Hua C, Adaptive full-state-constrained control of nonlinear systems with deferred constraints based on nonbarrier Lyapunov function method, IEEE Transactions on Cybernetics, 2022, 52(8): 7634-7642.
[35] Wang M, Ge S S, and Hong K S, Approximation-based adaptive tracking control of pure-feedback nonlinear systems with multiple unknown time-varying delays, IEEE Transactions on Neural Networks, 2010, 21(11): 1804-1816.
[36] Wang C, Wu Y, and Yu J, Barrier Lyapunov functions-based dynamic surface control for purefeedback systems with full state constraints, IET Control Theory & Applications, 2017, 11(4): 524-530.
[37] Dong Y and Chen Z, Fixed-time synchronization of networked uncertain Euler-Lagrange systems, Automatica, 2022, 146: 110571.