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ORCIDFeng Zhou 0005
Person information
- affiliation: Central South University China, School of Information Science and Engineering, Changsha, China
Other persons with the same name
- Feng Zhou — disambiguation page
- Feng Zhou 0001
![[0000-0002-1514-7393]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1514-7393")
— Xidian University, Ministry Key Laboratory of Electronic Information Countermeasure and Simulation, Xi'an, China - Feng Zhou 0002 — Baidu Research, Sunnyvale, CA, USA (and 2 more)
- Feng Zhou 0003 — University of Michigan at Dearborn, Industrial and Manufacturing Systems Engineering, MI, USA (and 2 more)
- Feng Zhou 0004 — Peking University, College of Environmental Sciences and Engineering, Beijing, China
- Feng Zhou 0006 — Nanjing University of Information Science and Technology, School of Information and Control, Jiangsu Key Laboratory of Big Data Analysis Technology, China
- Feng Zhou 0007 — Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China
- Feng Zhou 0008 — UISEE (Shanghai) Automotive Technologies Ltd, China
- Feng Zhou 0009 — Army Engineering University of PLA, College of Communications Engineering, Nanjing, China
- Feng Zhou 0010 — Yancheng Institute of Technology, School of Information Technology, China
- Feng Zhou 0011 — University of New South Wales, Sydney, NSW, Australia (and 1 more)
- Feng Zhou 0012 — Harbin Engineering University, Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, China
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2020 – today
- 2024
[j19]Yanhui Xi, Meiting Li, Feng Zhou, Xin Tang, Zewen Li, Juanxiu Tian:
SE-Inception-ResNet Model With Focal Loss for Transmission Line Fault Classification Under Class Imbalance. IEEE Trans. Instrum. Meas. 73: 1-17 (2024)- 2022
- [j18]Wenquan Xu, Hui Peng, Xiaoyong Zeng, Feng Zhou, Xiaoying Tian, Xiaoyan Peng:
A Hybrid Modeling Method Based on Linear AR and Nonlinear DBN-AR Model for Time Series Forecasting. Neural Process. Lett. 54(1): 1-20 (2022) - 2021
- [j17]Xiaoying Tian, Hui Peng, Feng Zhou, Xiaoyan Peng:
A synthesis approach of fast robust MPC with RBF-ARX model to nonlinear system with uncertain steady status information. Appl. Intell. 51(1): 19-36 (2021) - [j16]Tiao Kang, Hui Peng, Feng Zhou, Xiaoying Tian, Xiaoyan Peng:
Robust predictive control of coupled water tank plant. Appl. Intell. 51(8): 5726-5744 (2021) - [j15]Xiaoying Tian, Hui Peng, Xiaoyong Zeng, Feng Zhou, Wenquan Xu, Xiaoyan Peng:
A modelling and predictive control approach to linear two-stage inverted pendulum based on RBF-ARX model. Int. J. Control 94(2): 351-369 (2021) - [j14]Feng Zhou, Min Gan, C. L. Philip Chen:
Robust Model Predictive Control Algorithm With Variable Feedback Gains for Output Tracking. IEEE Trans. Ind. Electron. 68(5): 4228-4237 (2021) - 2020
- [j13]Feng Zhou, Peidong Zhu, Yemei Qin, Yu Zheng:
An RBF-ARX Model-Based Variable-Gain Feedback RMPC Algorithm. IEEE Access 8: 107124-107133 (2020) - [j12]Yemei Qin, Yangyu Zhong, Zhen Lei, Hui Peng, Feng Zhou, Ping Tan:
A Hybrid Parameter Estimation for Multi-asset Modeling and Dynamic Allocation Based on Financial Market Microstructure Model. Int. J. Artif. Intell. Tools 29(7-8): 2040007:1-2040007:22 (2020) - [j11]Yu Zheng, Zhuxian Zhang, Lu Feng, Peidong Zhu, Feng Zhou:
Enhanced Passive GNSS-Based Radar Imaging Based on Coherent Integrated Multi-Satellite Signals. Sensors 20(3): 842 (2020)
2010 – 2019
- 2019
- [j10]Feng Zhou, Hui Peng, Ganglin Zhang, Xiaoyong Zeng, Xiaoyan Peng:
Robust Predictive Control Algorithm Based on Parameter Variation Rate Information of Functional-Coefficient ARX Model. IEEE Access 7: 27231-27243 (2019) - [j9]Feng Zhou, Hui Peng, Ganglin Zhang, Xiaoyong Zeng:
A Robust Controller Design Method Based on Parameter Variation Rate of RBF-ARX Model. IEEE Access 7: 160284-160294 (2019) - [j8]Wenquan Xu, Hui Peng, Xiaoyong Zeng, Feng Zhou, Xiaoying Tian, Xiaoyan Peng:
A hybrid modelling method for time series forecasting based on a linear regression model and deep learning. Appl. Intell. 49(8): 3002-3015 (2019) - [j7]Wenquan Xu, Hui Peng, Xiaoyong Zeng, Feng Zhou, Xiaoying Tian, Xiaoyan Peng:
Deep belief network-based AR model for nonlinear time series forecasting. Appl. Soft Comput. 77: 605-621 (2019) - [j6]Feng Zhou, Hui Peng, Xiaoyong Zeng, Xiaoying Tian:
RBF-ARX model-based two-stage scheduling RPC for dynamic systems with bounded disturbance. Neural Comput. Appl. 31(8): 4185-4200 (2019) - 2018
- [j5]Feng Zhou, Hui Peng, Wenjie Ruan, Dan Wang, Mingyue Liu, Yunfeng Gu, Li Li:
Cubic-RBF-ARX modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process. Neural Comput. Appl. 30(4): 1039-1053 (2018) - [j4]Xiaoyong Zeng, Hui Peng, Feng Zhou:
A Regularized SNPOM for Stable Parameter Estimation of RBF-AR(X) Model. IEEE Trans. Neural Networks Learn. Syst. 29(4): 779-791 (2018) - 2017
- [j3]Xiaoyong Zeng, Hui Peng, Feng Zhou, Yanhui Xi:
Implementation of regularization for separable nonlinear least squares problems. Appl. Soft Comput. 60: 397-406 (2017) - [j2]Feng Zhou, Hui Peng, Xiaoyong Zeng, Xiaoying Tian, Xiaoyan Peng:
RBF-ARX model-based robust MPC for nonlinear systems with unknown and bounded disturbance. J. Frankl. Inst. 354(18): 8072-8093 (2017) - 2015
- [j1]Yemei Qin, Hui Peng, Feng Zhou, Xiaoyong Zeng, Jun Wu:
Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model. J. Frankl. Inst. 352(10): 4309-4338 (2015)
Coauthor Index
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