Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay

Constrained model predictive control: Stability and optimality

Mayne, D. Q., Rawlings, J. B., Rao, C. V., & Scokaert, P. O. M. (2000) · Automatica · doi:10.1016/s0005-1098(99)00214-9 · Cited by 8,736

Barrier Lyapunov Functions for the control of output-constrained nonlinear systems

Tee, K. P., Ge, S. S., & Tay, E. H. (2009) · Automatica · doi:10.1016/j.automatica.2008.11.017 · Cited by 2,920

Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints

He, W., Chen, Y., & Yin, Z. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2411285 · Cited by 1,279

Control of nonlinear systems with time-varying output constraints

Tee, K. P., Ren, B., & Ge, S. S. (2011) · Automatica · doi:10.1016/j.automatica.2011.08.044 · Cited by 1,065

Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints

Liu, Y., & Tong, S. (2015) · Automatica · doi:10.1016/j.automatica.2015.10.034 · Cited by 885

Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation

He, W., Dong, Y., & Sun, C. (2015) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2015.2429555 · Cited by 790

Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities

Chen, M., Ge, S. S., & How, B. V. E. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 733

Adaptive output-feedback control design with prescribed performance for switched nonlinear systems

Li, Y., Tong, S., Liu, L., & Feng, G. (2017) · Automatica · doi:10.1016/j.automatica.2017.02.005 · Cited by 669

Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems

Zhao, K., & Song, Y. (2018) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2845707 · Cited by 569

Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems

Liu, L., Liu, Y., & Tong, S. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2828308 · Cited by 481

Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States

Liu, Y., Zhao, W., Liu, L., Li, D., Tong, S., & Chen, C. L. P. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3107600 · Cited by 334

Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints

Liu, Y., Zeng, Q. H., Tong, S., Chen, C. L. P., & Liu, L. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2893847 · Cited by 291

Control of nonlinear systems under dynamic constraints: A unified barrier function-based approach

Zhao, K., Song, Y., Chen, C. L. P., & Chen, L. (2020) · Automatica · doi:10.1016/j.automatica.2020.109102 · Cited by 273

Adaptive Reinforcement Learning Neural Network Control for Uncertain Nonlinear System With Input Saturation

Bai, W., Zhou, Q. F., Li, T., & Li, H. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2921057 · Cited by 233

Neural Network Controller Design for a Class of Nonlinear Delayed Systems With Time-Varying Full-State Constraints

Li, D., Chen, C. L. P., Liu, Y., & Tong, S. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2886023 · Cited by 218

Adaptive neural network-based control for a class of nonlinear pure-feedback systems with time-varying full state constraints

Gao, T., Liu, Y., Liu, L., & Li, D. (2018) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2018.7511195 · Cited by 217

Barrier Lyapunov Function-Based Adaptive Fuzzy FTC for Switched Systems and Its Applications to Resistance–Inductance–Capacitance Circuit System

Liu, L., Liu, Y., Li, D., Tong, S., & Wang, Z. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2931770 · Cited by 217

Event-Triggered Adaptive Control of Saturated Nonlinear Systems With Time-Varying Partial State Constraints

Wang, L., Chen, C. L. P., & Li, H. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2865499 · Cited by 203

Adaptive Neural-Network Boundary Control for a Flexible Manipulator With Input Constraints and Model Uncertainties

Ren, Y. S., Zhao, Z., Zhang, C., Yang, Q., & Hong, K. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.3021069 · Cited by 195

Observer-Based Adaptive Fuzzy Fault-Tolerant Control for Stochastic Nonstrict-Feedback Nonlinear Systems With Input Quantization

Ma, H., Zhou, Q. F., Bai, L., & Liang, H. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2833872 · Cited by 187

Command Filter-Based Adaptive Neural Control Design for Nonstrict-Feedback Nonlinear Systems With Multiple Actuator Constraints

Wang, H., Kang, S., Zhao, X., Xu, N., & Li, T. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3079129 · Cited by 172

Adaptive Fuzzy Tracking Control for a Class of Strict-Feedback Nonlinear Systems With Time-Varying Input Delay and Full State Constraints

Wang, T., Ju, W., Wang, Y., & Ma, M. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2952832 · Cited by 170

Fixed-time disturbance observer-based robust fault-tolerant tracking control for uncertain quadrotor UAV subject to input delay

Liu, K., Wang, R., Zheng, S., Dong, S., & Sun, G. (2022) · Nonlinear Dynamics · doi:10.1007/s11071-021-07080-0 · Cited by 165

Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback

Kong, L., He, W., Dong, Y., Cheng, L., Yang, C., & Li, Z. (2019) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2019.2901277 · Cited by 165

Actuator Failure Compensation-Based Adaptive Control of Active Suspension Systems With Prescribed Performance

Liu, Y., Zeng, Q. H., Tong, S., Chen, C. L. P., & Liu, L. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2937037 · Cited by 158

Recurrent Neural Network for Kinematic Control of Redundant Manipulators With Periodic Input Disturbance and Physical Constraints

Zhang, Y., Li, S., Kadry, S., & Liao, B. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2859751 · Cited by 152

Predefined-Time Adaptive Neural Tracking Control of Switched Nonlinear Systems

Wang, H., Tong, M., Zhao, X., Niu, B., & Yang, M. (2022) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2022.3204275 · Cited by 148

Resilient adaptive control of switched nonlinear cyber-physical systems under uncertain deception attacks

Li, Z., & Zhao, J. Y. (2020) · Information Sciences · doi:10.1016/j.ins.2020.07.022 · Cited by 141

Finite-Time Adaptive Neural Control for a Class of Nonlinear Systems With Asymmetric Time-Varying Full-State Constraints

Zhang, Y., Guo, J. C., & Xiang, Z. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3164948 · Cited by 137

Adaptive Fuzzy Fault-Tolerant Tracking Control for Partially Unknown Systems With Actuator Faults via Integral Reinforcement Learning Method

Zhang, H., Zhang, K., Cai, Y., & Han, J. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2893211 · Cited by 137

Neuroadaptive Robotic Control Under Time-Varying Asymmetric Motion Constraints: A Feasibility-Condition-Free Approach

Zhao, K., & Song, Y. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2856747 · Cited by 136

Adaptive Sliding Mode Control for Uncertain Active Suspension Systems With Prescribed Performance

Liu, Y., & Chen, H. (2020) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2019.2961927 · Cited by 135

Adaptive tracking control for nonlinear time-varying delay systems with full state constraints and unknown control coefficients

Li, D., & Li, D. (2018) · Automatica · doi:10.1016/j.automatica.2018.03.063 · Cited by 130

Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties

Kebria, P. M., Khosravi, A., Nahavandi, S., Shi, P. J., & Alizadehsani, R. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2891656 · Cited by 126

Neural Adaptive Control for MEMS Gyroscope with Full-State Constraints and Quantized Input

Shao, X., & Shi, Y. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.2968345 · Cited by 119

Adaptive NN Control Without Feasibility Conditions for Nonlinear State Constrained Stochastic Systems With Unknown Time Delays

Li, D., Liu, L., Liu, Y., Tong, S., & Chen, C. L. P. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2903869 · Cited by 116

Adaptive Finite-Time Neural Network Control of Nonlinear Systems With Multiple Objective Constraints and Application to Electromechanical System

Liu, L., Zhao, W., Liu, Y., Tong, S., & Wang, Y. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3027689 · Cited by 116

Decentralized Event-Triggered Adaptive Fuzzy Control for Nonlinear Switched Large-Scale Systems With Input Delay Via Command-Filtered Backstepping

Zhang, J., Li, S., Ahn, C. K., & Xiang, Z. (2021) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2021.3066297 · Cited by 115

An Adaptive Backstepping Trajectory Tracking Control of a Tractor Trailer Wheeled Mobile Robot

Bình, N. T., Tung, N. A., Dao, P. N., & Quang, N. H. (2019) · International Journal of Control Automation and Systems · doi:10.1007/s12555-017-0711-0 · Cited by 110

Fuzzy Observer Constraint Based on Adaptive Control for Uncertain Nonlinear MIMO Systems With Time-Varying State Constraints

Liu, Y., Gong, M., Liu, L., Tong, S., & Chen, C. L. P. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2933700 · Cited by 108

Adaptive Fuzzy Output-Feedback Control for Switched Uncertain Nonlinear Systems With Full-State Constraints

Liu, L., Chen, A., & Liu, Y. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3050510 · Cited by 108

Event-Based Adaptive Neural Control of Nonlinear Systems With Deferred Constraint

Zhao, K., Chen, L., & Chen, C. L. P. (2022) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2022.3143359 · Cited by 106

Relative Threshold-Based Event-Triggered Control for Nonlinear Constrained Systems With Application to Aircraft Wing Rock Motion

Liu, L., Liu, Y., Tong, S., & Gao, Z. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3080841 · Cited by 103

Deterministic Learning-Based Adaptive Neural Control for Nonlinear Full-State Constrained Systems

Li, D., Han, H., & Qiao, J. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3126320 · Cited by 93

Adaptive Fuzzy Leader–Follower Synchronization of Constrained Heterogeneous Multiagent Systems

Yang, Y., & Xu, C. (2020) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2020.3021714 · Cited by 91

Global Consensus of Multiagent Systems With Internal Delays and Communication Delays

Qian, W., Gao, Y., & Yang, Y. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2883108 · Cited by 87

Adaptive Neural Network-Based Filter Design for Nonlinear Systems With Multiple Constraints

Shen, Q., Shi, P. J., Agarwal, R. K., & Shi, Y. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3009391 · Cited by 86

Fuzzy Adaptive Two-Bit-Triggered Control for a Class of Uncertain Nonlinear Systems With Actuator Failures and Dead-Zone Constraint

Zhang, C., Chen, Z., Wang, J., Liu, Z., & Chen, C. L. P. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2970736 · Cited by 85

Adaptive Fuzzy Dynamic Surface Control of Nonlinear Constrained Systems With Unknown Virtual Control Coefficients

Wang, L., & Chen, C. L. P. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2921277 · Cited by 80

Observer-Based Adaptive Fuzzy Tracking Control Using Integral Barrier Lyapunov Functionals for A Nonlinear System With Full State Constraints

Zhao, W., Liu, Y., & Liu, L. (2021) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2021.1003877 · Cited by 79

Event-Triggered Tracking Control for Active Seat Suspension Systems With Time-Varying Full-State Constraints

Liu, L., & Li, X. (2020) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2020.3003368 · Cited by 78

Adaptive Fuzzy Output-Constrained Control for Nonlinear Stochastic Systems With Input Delay and Unknown Control Coefficients

Wang, Y., Zhang, J., Zhang, H., & Xie, X. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.3034146 · Cited by 78

Finite-time Pade-based adaptive FNN controller implementation for microbial fuel cell with delay and multi-disturbance

Fu, L. J., Wang, J., Fu, X., & Zhao, G. (2024) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2024.10.372 · Cited by 78

Adaptive Full-State-Constrained Control of Nonlinear Systems With Deferred Constraints Based on Nonbarrier Lyapunov Function Method

Chen, J., & Hua, C. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.3036646 · Cited by 76

ADP-Based Online Tracking Control of Partially Uncertain Time-Delayed Nonlinear System and Application to Wheeled Mobile Robots

Li, S., Ding, L., Gao, H., Liu, Y., Huang, L., & Deng, Z. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2900326 · Cited by 76

Event-Triggered Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Time-Delay Systems With Unknown Control Directions

Ma, J., Xu, S., Ma, Q., & Zhang, Z. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2952709 · Cited by 74

Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme

Zhou, H., Zhang, Y., Duan, W., & Zhao, H. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106516 · Cited by 73

Fixed-Time Stabilization for a Class of Output-Constrained Nonlinear Systems

Mei, K., Ding, S., & Chen, C. (2022) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2022.3146011 · Cited by 73

A novel photovoltaic power forecasting model based on echo state network

Yao, X., Wang, Z., & Zhang, H. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.10.022 · Cited by 72

State Quantized Output Feedback Control for Nonlinear Systems via Event-Triggered Sampling

Liu, W., Ma, Q., Xu, S., & Zhang, Z. (2021) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2021.3135390 · Cited by 72

Fuzzy adaptive two‐bits‐triggered control for nonlinear uncertain system with input saturation and output constraint

Chen, Z., Wang, J., Ma, K., Huang, X. Y., & Wang, T. (2020) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3098 · Cited by 71

Group Consensus for Heterogeneous Multiagent Systems in the Competition Networks With Input Time Delays

Ji, L., Yu, X., & Li, C. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2858556 · Cited by 72

Non-fragile l2-l∞ state estimation for time-delayed artificial neural networks: an adaptive event-triggered approach

Wang, L., Liu, S., Zhang, Y., Ding, D., & Yi, X. (2022) · International Journal of Systems Science · doi:10.1080/00207721.2022.2049919 · Cited by 70

Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy

Kang, M., Fan, X.-R., Hua, J., Wang, H., Wang, X., & Wang, F. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2858264 · Cited by 69

Neuroadaptive learning algorithm for constrained nonlinear systems with disturbance rejection

Yang, G., Yao, J., & Dong, Z. (2022) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.6143 · Cited by 69

Reinforcement Learning Control for a 2-DOF Helicopter With State Constraints: Theory and Experiments

Zhao, Z., He, W., Mu, C., Zou, T., Hong, K., & Li, H. (2022) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2022.3215738 · Cited by 68

Finite-Time Adaptive Output Feedback Control for MIMO Nonlinear Systems With Actuator Faults and Saturations

Ji, R., Ma, J., Li, D., & Ge, S. S. (2020) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2020.2996709 · Cited by 67

Event-Triggered Output-Feedback Control for Large-Scale Systems With Unknown Hysteresis

Cao, L., Ren, H., Li, H., & Lu, R. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2997943 · Cited by 67

Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems

Sun, J., He, H., Yi, J., & Pu, Z. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.3032096 · Cited by 67

Disturbance-observer-based adaptive fuzzy control for nonlinear state constrained systems with input saturation and input delay

Zhang, Q., & Dong, J. (2019) · Fuzzy Sets and Systems · doi:10.1016/j.fss.2019.06.014 · Cited by 65

A CNN-Assisted deep echo state network using multiple Time-Scale dynamic learning reservoirs for generating Short-Term solar energy forecasting

Mustaqeem, M., Ishaq, M., & Kwon, S. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102275 · Cited by 65

Adaptive Dynamic Surface Fuzzy Control for State Constrained Time-Delay Nonlinear Nonstrict Feedback Systems With Unknown Control Directions

Sun, W., Li-ping, W., & Wu, Y. (2020) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2020.2969289 · Cited by 62

Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances

Min, H., Xu, S., Fei, S., & Yu, X. G. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3056524 · Cited by 62

Satellite Formation-Containment Control Emphasis on Collision Avoidance and Uncertainty Suppression

Sun, Q., Wang, X., & Chen, Y. (2022) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2022.3173683 · Cited by 58

Reinforcement learning based data fusion method for multi-sensors

Zhou, T., Chen, M., & Zou, J. (2020) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2020.1003180 · Cited by 58

Novel prescribed performance-tangent barrier Lyapunov function for neural adaptive control of the chaotic PMSM system by backstepping

Zhang, J., Wang, S., Zhou, P., Zhao, L., & Li, S. (2020) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2020.105991 · Cited by 57

Neural-Network-Based Adaptive Control of Uncertain MIMO Singularly Perturbed Systems With Full-State Constraints

Wang, H., Yang, C., Liu, X., & Zhou, L. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3123361 · Cited by 54

Neural network-based adaptive reinforcement learning for optimized backstepping tracking control of nonlinear systems with input delay

Zhu, B., Karimi, H. R., Zhang, L., & Zhao, X. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05932-x · Cited by 54

Adaptive neural network tracking control for uncertain nonlinear systems with input delay and saturation

Ma, J., Xu, S., Zhuang, G., Wei, Y., & Zhang, Z. (2020) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.4887 · Cited by 54

Nonlinear system modeling using self-organizing fuzzy neural networks for industrial applications

Zhou, H., Zhao, H., & Zhang, Y. (2020) · Applied Intelligence · doi:10.1007/s10489-020-01645-z · Cited by 53

Rotation matrix based finite-time attitude synchronization control for spacecraft with external disturbances

Huang, B., Li, A., Guo, Y. F., & Wang, C. (2018) · ISA Transactions · doi:10.1016/j.isatra.2018.10.027 · Cited by 52

Adaptive dynamic surface control of MIMO nonlinear systems: A hybrid event triggering mechanism

Huang, S., Zong, G., Xu, N., Wang, H., & Zhao, X. (2023) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3708 · Cited by 51

Adaptive PI event-triggered control for MIMO nonlinear systems with input delay

Wang, J., Wu, Y., Chen, C. L. P., Liu, Z., & Wu, W. (2024) · Information Sciences · doi:10.1016/j.ins.2024.120817 · Cited by 51

Reinforcement Learning Neural Network-Based Adaptive Control for State and Input Time-Delayed Wheeled Mobile Robots

Li, S., Ding, L., Gao, H., Liu, Y., Li, N., & Deng, Z. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2870724 · Cited by 51

Adaptive decentralized output feedback PI tracking control design for uncertain interconnected nonlinear systems with input quantization

Sun, H., Zong, G., & Chen, C. L. P. (2019) · Information Sciences · doi:10.1016/j.ins.2019.09.072 · Cited by 50

Adaptive NN Tracking Control for Uncertain MIMO Nonlinear System With Time-Varying State Constraints and Disturbances

Lu, S., Chen, M., Liu, Y., & Shao, S. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3141052 · Cited by 49

Adaptive course control based on trajectory linearization control for unmanned surface vehicle with unmodeled dynamics and input saturation

Mu, D., Wang, G., Fan, Y., Qiu, B., & Sun, X. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.09.015 · Cited by 49

Adaptive Control of Full-State Constrained High-Order Nonlinear Systems With Time-Varying Powers

Guo, C., Xie, R., & Xie, X. (2019) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2019.2946350 · Cited by 49

Adaptive Neural Consensus Tracking Control for Nonlinear Multiagent Systems Using Integral Barrier Lyapunov Functionals

Yuan, F., Liu, Y., Liu, L., Lan, J., Li, D., Tong, S., & Chen, C. L. P. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3112763 · Cited by 48

Neural network-based finite-time command-filtered adaptive backstepping control of electro-hydraulic servo system with a three-stage valve

Niu, S., Wang, J., Zhao, J., & Shen, W. (2024) · ISA Transactions · doi:10.1016/j.isatra.2023.10.017 · Cited by 54

Adaptive Fuzzy Fast Finite-Time Formation Control for Second-Order MASs Based on Capability Boundaries of Agents

Lan, J., Liu, Y., Xu, T., Tong, S., & Liu, L. (2021) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2021.3133903 · Cited by 47

Event-Based Asymptotic Tracking Control for Constrained MIMO Nonlinear Systems via a Single-Parameter Adaptation Method

Feng, Z., Li, R.-B., Zhang, N., & Wu, L. (2023) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2023.3301189 · Cited by 44

Adaptive Output Feedback Tracking Control for a Class of Nonlinear Time-Varying State Constrained Systems With Fuzzy Dead-Zone Input

Lan, J., Liu, Y., Liu, L., & Tong, S. (2020) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2020.2986705 · Cited by 44

Adaptive fuzzy control for non-strict feedback nonlinear systems with input delay and full state constraints

Yang, Z., Zhang, X., Zong, X., & Wang, G. (2020) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2020.05.008 · Cited by 44

Performance-Guaranteed Fault-Tolerant Control for Uncertain Nonlinear Systems via Learning-Based Switching Scheme

Ruan, Z., Yang, Q., Ge, S. S., & Sun, Y. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3016954 · Cited by 44

Neurodynamic Approximation-Based Quantized Control With Improved Transient Performances for Microelectromechanical System Gyroscopes: Theory and Experimental Results

Shao, X., Shi, Y., Zhang, W., & Cao, H. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2020.3026297 · Cited by 42

Synchronization control for bilateral teleoperation system with position error constraints: A fixed-time approach

Wang, Z., Sun, Y., & Liang, B. (2019) · ISA Transactions · doi:10.1016/j.isatra.2019.03.003 · Cited by 42

Adaptive fuzzy voltage-based backstepping tracking control for uncertain robotic manipulators subject to partial state constraints and input delay

Keighobadi, J., Fateh, M. M., & Xu, B. (2020) · Nonlinear Dynamics · doi:10.1007/s11071-020-05674-8 · Cited by 42

Finite-time adaptive neural control for nonstrict-feedback stochastic nonlinear systems with input delay and output constraints

Wang, Y., Zhang, J., Zhang, H., & Xie, X. (2020) · Applied Mathematics and Computation · doi:10.1016/j.amc.2020.125756 · Cited by 42

Neural-networks-based adaptive quantized feedback tracking of uncertain nonlinear strict-feedback systems with unknown time delays

Choi, Y. H., & Yoo, S. J. (2020) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2020.08.046 · Cited by 41

Adaptive NN-based finite-time tracking control for wheeled mobile robots with time-varying full state constraints

Li, S., Wang, Q., Ding, L., An, X., Gao, H., Hou, Y., & Deng, Z. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.04.104 · Cited by 40

Disturbance observer–based adaptive neural finite-time control for nonstrict-feedback nonlinear systems with input delay

Wei, F., Xu, N., Huang, S., & Cao, Y. (2024) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312241261084 · Cited by 39

Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems

Yang, Y., Liu, Z., Li, Q., & Wunsch, D. C. (2020) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2020.1003524 · Cited by 39

Adaptive Finite-Time Tracking Control for Continuous Stirred Tank Reactor With Time-Varying Output Constraint

Li, D., Wang, D., Liu, L., & Gao, Y. (2019) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2019.2956769 · Cited by 38

Command-filter-based adaptive neural tracking control for a class of nonlinear MIMO state-constrained systems with input delay and saturation

Zhou, Y., Wang, X., & Xu, R. L. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.12.006 · Cited by 36

Adaptive finite-time control for switched nonlinear systems subject to multiple objective constraints via multi-dimensional Taylor network approach

He, W., Zhu, S.-L., Li, N., & Han, Y. (2022) · ISA Transactions · doi:10.1016/j.isatra.2022.10.048 · Cited by 36

Adaptive Neural Tracking Control of a Class of Hyperbolic PDE With Uncertain Actuator Dynamics

Xiao, Y., Yuan, Y., Yang, C., Luo, B., Xu, X., & Dubljevic, S. S. (2022) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2022.3223168 · Cited by 35

Robust Stabilization of High-Order Nonlinear Systems With Unknown Sensitivities and Applications in Humanoid Robot Manipulation

Sun, Z., Liu, C., Su, S., & Sun, W. (2019) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2019.2931768 · Cited by 34

Adaptive Neural Neworks Control for Uncertain Nonlinear State Constrained Systems With Input Delay

You, F., Chen, N., Cheng, S., & Jia, M. (2019) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc.2019.8832508

Adaptive dynamic programming-based optimal control for nonlinear state constrained systems with input delay

Wang, J., Zhang, P., Wang, Y., & Ji, Z. (2023) · Nonlinear Dynamics · doi:10.1007/s11071-023-08871-3 · Cited by 24

Adaptive Neural Tracking Control for Nonlinear Time-Delay Systems With Full State Constraints

Li, D., & Li, D.-J. (2017) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2016.2637063 · Cited by 119

Adaptive neural tracking control of nonlinear systems with output constraint and input delay

Kang, G., & Xia, X. (2019) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2019.8865791

Adaptive tracking control for nonlinear time-varying delay systems with full state constraints and unknown control coefficients

Li, D., & Li, D. (2018) · Automatica · doi:10.1016/j.automatica.2018.03.063 · Cited by 130