Mingxuan Sun
Orcid: 0000-0003-2553-6154Affiliations:
- Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- Nanyang Technological University, Singapore (former, PhD 2002)
According to our database1,
Mingxuan Sun authored at least 30 papers
between 2008 and 2025.
Collaborative distances:
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Bibliography
2025
Time-variant quadratic programming solving by using finitely-activated RNN models with exact settling time.
Neural Comput. Appl., March, 2025
Deadzone-Modified Robust Adaptive Learning Bipartite Consensus for Heterogeneous Nonlinear Multiagent Systems.
IEEE Trans Autom. Sci. Eng., 2025
An Initial-Rectifying-Constraint Optimization Scheme for Repetitive Motion Planning by Using Prescribed-Time Zeroing Neural Networks.
IEEE Trans Autom. Sci. Eng., 2025
2024
Fuzzy Adaptive Learning Bipartite Consensus for Strict-Feedback Structurally Unbalanced Multiagent Systems With State Constraints.
IEEE Trans. Fuzzy Syst., April, 2024
Performance enhancing ZNN models for time-variant equality-constraint convex optimization solving: A transition-state based attracting system approach.
Expert Syst. Appl., March, 2024
Fixed-time convergent RNNs with logarithmic settling time for time-variant quadratic programming solving with application to repetitive motion planning.
Neural Comput. Appl., January, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Integral Lyapunov Function-Based Adaptive Learning Control for Nonstrict-Feedback Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
Attractiveness and Invariance Assessments of Dead-Beat Sliding-Mode Control With Power Rule.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing.
Neural Comput. Appl., 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Complex., 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Adaptive Repetitive Learning Control of PMSM Servo Systems with Bounded Nonparametric Uncertainties: Theory and Experiments.
IEEE Trans. Ind. Electron., 2021
Adaptive Iterative Learning Control for Tracking Trajectories With Non-Equal Trail Lengths and Initial Errors.
IEEE Access, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
Echo State Network-Based Backstepping Adaptive Iterative Learning Control for Strict-Feedback Systems: An Error-Tracking Approach.
IEEE Trans. Cybern., 2020
有限值终态递归神经网络计算 (Time-variant Neurocomputing with Finite-value Terminal Recurrent Neural Networks).
计算机科学, 2020
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Control. Syst. Technol., 2018
IEEE Trans. Aerosp. Electron. Syst., 2018
Adaptive Finite-Time Command Filtered Fault-Tolerant Control for Uncertain Spacecraft with Prescribed Performance.
Complex., 2018
Adaptive Backstepping Control Design for Uncertain Rigid Spacecraft With Both Input and Output Constraints.
IEEE Access, 2018
2017
Neural Network Based Finite-Time Adaptive Backstepping Control of Flexible Joint Manipulators.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2012
Adaptive Asymptotic Rejection of Unmatched General Periodic Disturbances in Output-Feedback Nonlinear Systems.
IEEE Trans. Autom. Control., 2012
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2010
J. Frankl. Inst., 2010
2008
On Initial Rectifying Learning for Linear Time-Invariant Systems with Rank-Defective Markov Parameters.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008