Yanming Wu

Orcid: 0000-0001-9423-9773

Affiliations:
  • Shenyang Aerospace University, School of Automation, China
  • Northeastern University, Shenyang, China (PhD 2019)


According to our database1, Yanming Wu authored at least 12 papers between 2016 and 2026.

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

2026
Research on stability of modular multi-legged robots with non-isomorphic configurations.
Trans. Inst. Meas. Control, 2026

2024
Output Consensus Control of Multi-Agent Systems With Switching Networks and Incomplete Leader Measurement.
IEEE Trans Autom. Sci. Eng., October, 2024

2023
Three-dimensional low-order fixed-time integrated guidance and control for STT missile with strap-down seeker.
J. Frankl. Inst., September, 2023

Distributed Resilient Tracking of Multiagent Systems Under Actuator and Sensor Faults.
IEEE Trans. Cybern., 2023

2021
Fuzzy Adaptive Practical Fixed-Time Consensus for Second-Order Nonlinear Multiagent Systems Under Actuator Faults.
IEEE Trans. Cybern., 2021

2020
Adaptive Fault-Tolerant Consensus Protocols for Multiagent Systems With Directed Graphs.
IEEE Trans. Cybern., 2020

2019
Distributed fault detection for nonlinear multi-agent systems under fixed-time observer.
J. Frankl. Inst., 2019

2018
Optimal Fault-Tolerant Control for Discrete-Time Nonlinear Strict-Feedback Systems Based on Adaptive Critic Design.
IEEE Trans. Neural Networks Learn. Syst., 2018

Leader-follower consensus of multi-agent systems in directed networks with actuator faults.
Neurocomputing, 2018

2017
State estimation for recurrent neural networks with unknown delays: A robust analysis approach.
Neurocomputing, 2017

2016
Stability criterion for delayed neural networks via Wirtinger-based multiple integral inequality.
Neurocomputing, 2016

Cluster cooperative output regulation of heterogeneous linear multi-agent systems with multiple leaders.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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