Rui-Bing Li

Orcid: 0000-0003-3944-9166

According to our database1, Rui-Bing Li authored at least 11 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Distributed Finite-Time Bipartite Consensus Control for Constrained Nonlinear MASs: A Switched Function Approach Based on Prioritized Strategy.
IEEE Trans. Autom. Control., January, 2026

2025
An improved constraint control framework for unmanned surface vehicles using command-filtered backstepping technique.
J. Frankl. Inst., 2025

2024
Neuroadaptive Output-Feedback Tracking Control for Stochastic Nonlower Triangular Nonlinear Systems With Dead-Zone Input.
IEEE Trans. Cybern., December, 2024

Adaptive Decentralized Control for Constrained Strong Interconnected Nonlinear Systems and Its Application to Inverted Pendulum.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Neuroadaptive Control for Active Suspension Systems With Time-Varying Motion Constraints: A Feasibility-Condition-Free Method.
IEEE Trans. Cybern., January, 2024

2023
Event-Based Asymptotic Tracking Control for Constrained MIMO Nonlinear Systems via a Single-Parameter Adaptation Method.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

2022
Removing the feasibility conditions on adaptive fuzzy decentralized tracking control of large-scale nonlinear systems with full-state constraints.
J. Frankl. Inst., 2022

State and static output feedback control of singular Takagi-Sugeno fuzzy systems with time-varying delay via proportional plus derivative feedback.
Inf. Sci., 2022

Event-based adaptive neural network asymptotic tracking control for a class of nonlinear systems.
Inf. Sci., 2022

2020
Intelligent Adaptive Tracking Controller Design for Stochastic Switched Pure-Feedback Nonlinear Systems With Input Saturation and Non-Lower Triangular Structure.
IEEE Access, 2020

2019
Adaptive neural design frame for uncertain stochastic nonlinear non-lower triangular pure-feedback systems with input constraint.
J. Frankl. Inst., 2019


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