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ORCIDFang Liu 0023
Person information
- affiliation: Huanghuai University, School of Information Engineering, Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots, Zhumadian, China
- affiliation (PhD 2006): McMaster University, Hamilton, Canada
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0001
![[0000-0002-5669-9354]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5669-9354")
— Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China - Fang Liu 0002 — HuNan University, School of Design, Changsha, China (and 2 more)
- Fang Liu 0003 — Anhui University, College of Electrical Engineering and Automation, Hefei, China (and 1 more)
- Fang Liu 0004 — Shenyang Ligong University, School of Information Science and Engineering, China
- Fang Liu 0005 — University of Wisconsin at Madison, Department of Radiology, WI, USA
- Fang Liu 0006 — University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Fang Liu 0007 — National Library of Medicine, Bethesda, MD, USA
- Fang Liu 0008 — Nanyang Technological University, Nanyang Business School, Singapore (and 1 more)
- Fang Liu 0009 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Fang Liu 0010 — Zhejiang University, Institute of Microelectronics and Optoelectronics, China
- Fang Liu 0011 — Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China (and 1 more)
- Fang Liu 0012 — Tianjin University, School of Electrical and Information Engineering, Key Laboratory of Smart Grid of MoE, China
- Fang Liu 0013 — Zhejiang University of Finance and Economics, School of Accounting, Hangzhou, China
- Fang Liu 0014 — Central South University, School of Automation, Changsha, China
- Fang Liu 0015 — Shenyang Ligong University, College of Science, Shenyang, China
- Fang Liu 0016 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Fang Liu 0017 — Guangxi University, School of Mathematics and Information Science, Nanning, China (and 1 more)
- Fang Liu 0018 — University of Reading, School of Psychology and Clinical Language Sciences, Reading, UK (and 2 more)
- Fang Liu 0019 — Microsoft, Redmond, WA, USA (and 1 more)
- Fang Liu 0020 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Fang Liu 0021 — Changsha University of Science and Technology, School of Transportation Engineering, Changsha, China (and 1 more)
- Fang Liu 0022 — Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
- Fang Liu 0024 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fang Liu 0025 — University of Texas - Pan American, Department of Computer Science, Edinburg, TX, USA (and 1 more)
- Fang Liu 0026 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Fang Liu 0027 — Massachusetts Institute of Technology, Media Laboratory, Cambridge, MA, USA
- Fang (Cherry) Liu (aka: Fang Liu 0028) — Georgia Institute of Technology, Partnership for An Advanced Computing Environment, Atlanta, GA, USA (and 2 more)
- Fang Liu 0029 — Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA
- Fang Liu 0030 — Guangdong University of Finance and Economics, School of Internet Finance and Information Engineering, Guangzhou, China (and 1 more)
- Fang Liu 0031 — Wuhan University, School of Computer Science, China (and 1 more)
- Fang Liu 0032 — Peking University, Key Lab of High Confidence Software Technology, School of Computer Science, Beijing, China
- Fang Liu 0033 — Dalian University of Technology, School of Computer Science and Technology, China
- Fang Liu 0034 — Nanjing University of Science and Technology, China (and 1 more)
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2020 – today
- 2022
[j14]Qiang Song, Deyuan Meng, Fang Liu:
Consensus-based iterative learning of heterogeneous agents with application to distributed optimization. Autom. 137: 110096 (2022)- [j13]Qiang Song, Guanghui Wen, Deyuan Meng, Fang Liu:
Distributed Control With Heterogeneous Gains for Signed Networks: An $H$-Matrix Approach. IEEE Trans. Control. Netw. Syst. 9(1): 25-36 (2022) - [j12]Qiang Song, Guoping Lu, Guanghui Wen, Yu Zhao, Fang Liu:
Analysis of Structural Balance and Distributed Control for High-Order Signed Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 7134-7147 (2022) - [p1]Qiang Song, Fang Liu, Guanghui Wen, Jinde Cao, Yang Tang:
Synchronization in Coupled Harmonic Oscillator Systems Based on Sampled Position Data. Handbook of Real-Time Computing 2022: 1199-1222 - 2021
- [j11]Qiang Song, Guanghui Wen, Deyuan Meng, Zhi-Wei Liu, Fang Liu:
Distributed Impulsive Control for Signed Networks of Coupled Harmonic Oscillators With Sampled Positions. IEEE Trans. Control. Netw. Syst. 8(1): 111-122 (2021)
2010 – 2019
- 2019
- [j10]Qiang Song, Guoping Lu, Guanghui Wen, Jinde Cao, Fang Liu:
Bipartite Synchronization and Convergence Analysis for Network of Harmonic Oscillator Systems With Signed Graph and Time Delay. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(7): 2723-2734 (2019) - [j9]Qiang Song, Fang Liu, Jinde Cao, Athanasios V. Vasilakos, Yang Tang:
Leader-Following Synchronization of Coupled Homogeneous and Heterogeneous Harmonic Oscillators Based on Relative Position Measurements. IEEE Trans. Control. Netw. Syst. 6(1): 13-23 (2019) - 2018
- [j8]Fang Liu, Qiang Song, Guanghui Wen, Jinde Cao, Xinsong Yang:
Bipartite synchronization in coupled delayed neural networks under pinning control. Neural Networks 108: 146-154 (2018) - 2017
- [j7]Qiang Song, Fang Liu, Guanghui Wen, Jinde Cao, Xinsong Yang:
Distributed Position-Based Consensus of Second-Order Multiagent Systems With Continuous/Intermittent Communication. IEEE Trans. Cybern. 47(8): 1860-1871 (2017) - [c10]Fang Liu, Qiang Song:
Pinning synchronization of Lipschitz-type complex networks based on output information. IECON 2017: 5940-5944 - [c9]Qiang Song, Fang Liu:
Stabilization of harmonic oscillator via positive delayed velocity feedback control. IECON 2017: 6002-6006 - 2016
- [j6]Chenglin Wen, Fang Liu, Qiang Song, Xiaoliang Feng:
Observer-based consensus of second-order multi-agent systems without velocity measurements. Neurocomputing 179: 298-306 (2016) - [j5]Qiang Song, Fang Liu, Guanghui Wen, Jinde Cao, Yang Tang:
Synchronization of Coupled Harmonic Oscillators via Sampled Position Data Control. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(7): 1079-1088 (2016) - [j4]Qiang Song, Wenwu Yu, Jinde Cao, Fang Liu:
Reaching Synchronization in Networked Harmonic Oscillators With Outdated Position Data. IEEE Trans. Cybern. 46(7): 1566-1578 (2016) - 2013
- [j3]Qiang Song, Fang Liu, Jinde Cao, Wenwu Yu:
$M$-Matrix Strategies for Pinning-Controlled Leader-Following Consensus in Multiagent Systems With Nonlinear Dynamics. IEEE Trans. Cybern. 43(6): 1688-1697 (2013) - 2012
- [j2]Qiang Song, Jinde Cao, Fang Liu:
Pinning synchronization of linearly coupled delayed neural networks. Math. Comput. Simul. 86: 39-51 (2012) - [j1]Qiang Song, Fang Liu, Jinde Cao, Wenwu Yu:
Pinning-Controllability Analysis of Complex Networks: An M-Matrix Approach. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(11): 2692-2701 (2012)
2000 – 2009
- 2006
- [c8]Raymond D. Findlay, Fang Liu:
Prediction of Ontario Hourly Load Demands and Neural Network Modeling Techniques. CCECE 2006: 372-375 - [c7]Qiang Song, Fang Liu, Raymond D. Findlay:
Improved Fuzzy Neural Network Control for a Pneumatic System Based on Extended Kalman Filter. CIMCA/IAWTIC 2006: 76 - [c6]Fang Liu, Raymond D. Findlay, Qiang Song:
A Neural Network Based Short Term Electric Load Forecasting in Ontario Canada. CIMCA/IAWTIC 2006: 119 - [c5]Qiang Song, Fang Liu, Raymond D. Findlay:
Generalized Predictive Control for a Pneumatic System Based on an Optimized ARMAX Model with an Artificial Neural Network. CIMCA/IAWTIC 2006: 223 - [c4]Fang Liu, Qiang Song, Raymond D. Findlay:
Accurate 24-hour-ahead Load Forecasting Using Similar Hourly Loads. CIMCA/IAWTIC 2006: 249 - [c3]Fang Liu, Raymond D. Findlay, Qiang Song:
Discussion and Prediction of Mechanical Properties for Single Layer ACSR. ICICIC (1) 2006: 138-141 - [c2]Qiang Song, Fang Liu:
The Direct Approach to Unified GPC Based on ARMAX/CARIMA/CARMA Model and Application for Pneumatic Actuator Control. ICICIC (1) 2006: 336-339 - [c1]Fang Liu, Raymond D. Findlay, Qiang Song:
A Neural Network Based Electrical Loss Prediction of Bare Overhead ACSR Conductors. ICICIC (2) 2006: 392-395
Coauthor Index
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