Li Ma

Orcid: 0000-0003-2784-6244

Affiliations:
  • Tongji University, College of Electronics and Information Engineering, Shanghai, China
  • Bohai University, Department of control theory and control engineering, Jinzhou, China


According to our database1, Li Ma authored at least 10 papers between 2019 and 2023.

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

2023
Human-in-the-Loop Formation-Containment Control for Multiagent Systems: An Observer-Based Distributed Unknown Input Reconstruction Method.
IEEE Trans. Control. Netw. Syst., December, 2023

Leader-Follower Asymptotic Consensus Control of Multiagent Systems: An Observer-Based Disturbance Reconstruction Approach.
IEEE Trans. Cybern., 2023

2021
Small-Gain Technique-Based Adaptive Neural Output-Feedback Fault-Tolerant Control of Switched Nonlinear Systems With Unmodeled Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2021

2020
Fuzzy Approximation Based Asymptotic Tracking Control for a Class of Uncertain Switched Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2020

Observed-based adaptive finite-time tracking control for a class of nonstrict-feedback nonlinear systems with input saturation.
J. Frankl. Inst., 2020

Event-triggered adaptive fuzzy output feedback control of MIMO switched nonlinear systems with average dwell time.
Appl. Math. Comput., 2020

2019
Observer-based fuzzy adaptive stabilization of uncertain switched stochastic nonlinear systems with input quantization.
J. Frankl. Inst., 2019

Observer-based adaptive fuzzy tracking control of MIMO switched nonlinear systems preceded by unknown backlash-like hysteresis.
Inf. Sci., 2019

Adaptive neural control for switched nonlinear systems with unknown backlash-like hysteresis and output dead-zone.
Neurocomputing, 2019

Adaptive Fuzzy Tracking Control for a Class of Uncertain Switched Nonlinear Systems with Multiple Constraints: A Small-Gain Approach.
Int. J. Fuzzy Syst., 2019


  Loading...