Xingru Li

Orcid: 0009-0004-2725-9482

According to our database1, Xingru Li authored at least 12 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Synchronized Collaboration of Distributed Multiple Robotic Arms via State-Coupled Neural Network.
IEEE Trans. Ind. Informatics, January, 2025

An adaptive variable-parameter dynamic learning network for solving constrained time-varying QP problem.
Neural Networks, 2025

2024
Novel Insight into Time-Space Sampled-Data Mechanism for Quasi-Estimation of RDNNs.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024

A Novel Swarm-Exploring Neurodynamic Network for Obtaining Global Optimal Solutions to Nonconvex Nonlinear Programming Problems.
IEEE Trans. Cybern., October, 2024

QoS-pro: A QoS-enhanced Transaction Processing Framework for Shared SSDs.
ACM Trans. Archit. Code Optim., March, 2024

A varying-parameter complementary neural network for multi-robot tracking and formation via model predictive control.
Neurocomputing, 2024

Generative Intelligence-Based Swarm Robots Control and Human-Robot Symbiotic Society.
Proceedings of the 16th International Conference on Advanced Computational Intelligence, 2024

2023
Intermittent Control for Synchronization of Markov Jump Inertial Neural Networks with Reaction-Diffusion Terms via Non-reduced-Order Method.
Circuits Syst. Signal Process., 2023

2022
Extended dissipative-based state estimation for Markov jump coupled neural networks with reaction-diffusion terms.
Trans. Inst. Meas. Control, 2022

State Observer Design of Coupled Genetic Regulatory Networks With Reaction-Diffusion Terms via Time-Space Sampled-Data Communications.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
Synchronization for hybrid coupled reaction-diffusion neural networks with stochastic disturbances via spatial sampled-data control strategy.
J. Syst. Control. Eng., 2021

Quasi-synchronization of coupled neural networks with reaction-diffusion terms driven by fractional brownian motion.
J. Frankl. Inst., 2021


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