Yongfeng Lv

According to our database, Yongfeng Lv authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Online Policy Learning-Based Output-Feedback Optimal Control of Continuous-Time Systems.

Jun Zhao, Yongfeng Lv, Qingliang Zeng, Lirong Wan

IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

2023

Class specific nullspace marginal discriminant analysis with overfitting-prevention kernel estimation for hand trajectory recognitions.

Xinyue Zhao, Gan Gao, Zaixing He, Yongfeng Lv

Multim. Tools Appl., December, 2023

Online Adaptive Integral Reinforcement Learning for Nonlinear Multi-Input System.

Yongfeng Lv, Huimin Chang, Jun Zhao

IEEE Trans. Circuits Syst. II Express Briefs, November, 2023

Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning.

Yongfeng Lv, Jing Na, Xiaowei Zhao, Yingbo Huang, Xuemei Ren

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Data-Based Optimal Microgrid Management for Energy Trading With Integral Q-Learning Scheme.

Yongfeng Lv, Zhaolong Wu, Xiaowei Zhao

IEEE Internet Things J., September, 2023

Inverse-model-based iterative learning control for unknown MIMO nonlinear system with neural network.

Yongfeng Lv, Xuemei Ren, Jianyan Tian, Xiaowei Zhao

Neurocomputing, 2023

2022

Adaptive Identifier-Critic-Based Optimal Tracking Control for Nonlinear Systems With Experimental Validation.

Jing Na, Yongfeng Lv, Kaiqiang Zhang, Jun Zhao

IEEE Trans. Syst. Man Cybern. Syst., 2022

Stability Analysis and Performance Improvement of Power Sharing Control in Islanded Microgrids.

Li Sun, Xiaowei Zhao, Yongfeng Lv

IEEE Trans. Smart Grid, 2022

Adaptive Learning Based Output-Feedback Optimal Control of CT Two-Player Zero-Sum Games.

Jun Zhao, Yongfeng Lv, Ziliang Zhao

IEEE Trans. Circuits Syst. II Express Briefs, 2022

2021

Temperature Prediction Model in Transition Ladle based on Guided Mutation GA-BP Neural Network.

Gaopeng Han, Jianyan Tian, Zhien Li, Yongfeng Lv, Bo Li

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

2019

Approximate Nash Solutions for Multiplayer Mixed-Zero-Sum Game With Reinforcement Learning.

Yongfeng Lv, Xuemei Ren

IEEE Trans. Syst. Man Cybern. Syst., 2019

Adaptive optimal tracking controls of unknown multi-input systems based on nonzero-sum game theory.

Yongfeng Lv, Xuemei Ren, Jing Na

J. Frankl. Inst., 2019

Online H∞ control for completely unknown nonlinear systems via an identifier-critic-based ADP structure.

Yongfeng Lv, Jing Na, Xuemei Ren

Int. J. Control, 2019

Neural Network Learning Control of Multi-input System with Unknown Dynamics.

Yongfeng Lv, Xuemei Ren, Siqi Li, Huichao Li, Hengxing Lv

Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

2018

Online optimal solutions for multi-player nonzero-sum game with completely unknown dynamics.

Yongfeng Lv, Xuemei Ren, Jing Na

Neurocomputing, 2018

Adaptive compressive sensing of images using error between blocks.

Ran Li, Xiaomeng Duan, Yongfeng Lv

Int. J. Distributed Sens. Networks, 2018

Multi-Scheme Frame Rate Up-Conversion Using Space-Time Saliency.

Ran Li, Yongfeng Lv, Zhenghui Liu

IEEE Access, 2018

2017

Adaptive Compressive Sensing of Images Using Spatial Entropy.

Ran Li, Xiaomeng Duan, Xiaoli Guo, Wei He, Yongfeng Lv

Comput. Intell. Neurosci., 2017

2016

Online adaptive optimal control for continuous-time nonlinear systems with completely unknown dynamics.

Yongfeng Lv, Jing Na, Qinmin Yang, Xing Wu, Yu Guo

Int. J. Control, 2016

Adaptive optimal tracking control of unknown nonlinear systems using system augmentation.

Yongfeng Lv, Jing Na, Qinmin Yang, Guido Herrmann

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016