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Yimeng Qi
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2020 – today
- 2024
- [j11]Long Jin
, Jinyuan Zhang
New Distributed Consensus Schemes With Time Delays and Output Saturation. IEEE Trans Autom. Sci. Eng. 21(3): 2856-2867 (2024) - 2022
- [j10]Long Jin
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies. IEEE Trans Autom. Sci. Eng. 19(4): 3575-3586 (2022) - [j9]Yimeng Qi
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination. IEEE Trans. Cybern. 52(8): 8515-8527 (2022) - [j8]Yimeng Qi
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1216-1227 (2022) - [j7]Shan Liao
An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5913-5924 (2022) - [c1]Yimeng Qi
Consumers' Trust Mechanism and Trust Boundary on Humanizing Customer Service Chatbots in E-commerce. HCI (26) 2022: 493-509 - 2021
- [j6]Bei Liu, Dongyang Fu, Yimeng Qi, Haoen Huang, Long Jin:
Noise-tolerant gradient-oriented neurodynamic model for solving the Sylvester equation. Appl. Soft Comput. 109: 107514 (2021) - [j5]Yang Shi, Chao Mou, Yimeng Qi, Bin Li, Shuai Li, Baoqing Yang:
Design, analysis and verification of recurrent neural dynamics for handling time-variant augmented Sylvester linear system. Neurocomputing 426: 274-284 (2021) - 2020
- [j4]Jun Yang
Discrete Perturbation-Immunity Neural Network for Dynamic Constrained Redundant Robot Control. IEEE Access 8: 84490-84500 (2020) - [j3]Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang
Two neural dynamics approaches for computing system of time-varying nonlinear equations. Neurocomputing 394: 84-94 (2020) - [j2]Yimeng Qi
Discrete Computational Neural Dynamics Models for Solving Time-Dependent Sylvester Equation With Applications to Robotics and MIMO Systems. IEEE Trans. Ind. Informatics 16(10): 6231-6241 (2020) - [j1]Yimeng Qi, Long Jin
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3555-3569 (2020)
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