Mingxuan Sun

Orcid: 0000-0003-2553-6154

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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
Adaptive Learning Control Algorithms for Infinite-Duration Tracking.
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
On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving.
IEEE Trans. Neural Networks Learn. Syst., 2022

Steady-State Error Band Improvement Using Dead-Beat Terminal Sliding Mode Control.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems.
Complex., 2022

2021
On Finite-Duration Convergent Attracting Laws.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Repetitive Learning Control for Control-Affine Systems With Time Delays.
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
Two-Phase Attractors for Finite-Duration Consensus of Multiagent Systems.
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
Neural AILC for Error Tracking Against Arbitrary Initial Shifts.
IEEE Trans. Neural Networks Learn. Syst., 2018

Digital Control Strategies With Attractiveness and Invariance Specifications.
IEEE Trans. Control. Syst. Technol., 2018

Adaptive Nonsingular Fixed-Time Attitude Stabilization of Uncertain Spacecraft.
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

Adaptive iterative learning control for SISO discrete time-varying systems.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2010
Varying-order iterative learning control against perturbed initial conditions.
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


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