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Multi-equilibrium property of metabolic networks: Exclusion of multi-stability for SSN metabolic modules 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2011, 卷号: 21, 期号: 15, 页码: 1791-1806
作者:  Lei, Hong-Bo;  Zhang, Ji-Feng;  Chen, Luonan
收藏  |  浏览/下载:110/0  |  提交时间:2018/07/30
metabolic network  multiple equilibria  multi-stability  SSN module  
A PARAMETER CONDITION FOR RULING OUT MULTIPLE EQUILIBRIA OF THE PHOTOSYNTHETIC CARBON METABOLISM 期刊论文
ASIAN JOURNAL OF CONTROL, 2011, 卷号: 13, 期号: 5, 页码: 611-624
作者:  Lei, Hong-Bo;  Wang, Xin;  Wang, Ruiqi;  Zhu, Xin-Guang;  Chen, Luonan;  Zhang, Ji-Feng
收藏  |  浏览/下载:94/0  |  提交时间:2018/07/30
Metabolic network  multi-equilibrium property  photosynthesis  photosynthetic carbon metabolism  
Multi-equilibrium property of metabolic networks: SSI module 期刊论文
BMC SYSTEMS BIOLOGY, 2011, 卷号: 5, 页码: 11
作者:  Lei, Hong-Bo;  Zhang, Ji-Feng;  Chen, Luonan
收藏  |  浏览/下载:92/0  |  提交时间:2018/07/30
Consensus Conditions of Multi-Agent Systems With Time-Varying Topologies and Stochastic Communication Noises 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 卷号: 55, 期号: 9, 页码: 2043-2057
作者:  Li, Tao;  Zhang, Ji-Feng
收藏  |  浏览/下载:110/0  |  提交时间:2018/07/30
Average-consensus  distributed coordination  distributed estimation  multi-agent systems  stochastic systems  
Necessary and Sufficient Conditions for Consensusability of Linear Multi-Agent Systems 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 卷号: 55, 期号: 5, 页码: 1263-1268
作者:  Ma, Cui-Qin;  Zhang, Ji-Feng
收藏  |  浏览/下载:97/0  |  提交时间:2018/07/30
Consensusability  consensusability condition  consensus protocol  linear time-invariant (LTI) system  multi-agent system (MAS)  
IDENTIFICATION OF HAMMERSTEIN SYSTEMS WITH QUANTIZED OBSERVATIONS 期刊论文
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2010, 卷号: 48, 期号: 7, 页码: 4352-4376
作者:  Zhao, Yanlong;  Zhang, Ji-Feng;  Wang, Le Yi;  Yin, G. George
收藏  |  浏览/下载:105/0  |  提交时间:2018/07/30
identification  quantized observations  Hammerstein systems  parameter estimation  quantization thresholds  strongly scaled full rank signals