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LMI Conditions for Global Stability of Fractional-Order Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 10, 页码: 2423-2433
作者:  Zhang, Shuo;  Yu, Yongguang;  Yu, Junzhi
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Fractional Order  Generalized Projective Synchronization (Gps)  Linear Matrix Inequality (Lmi)  Neural Networks  Stability  
Pinning synchronization of memristor-based neural networks with time-varying delays 期刊论文
NEURAL NETWORKS, 2017, 卷号: 93, 期号: 无, 页码: 143-151
作者:  Yang, Zhanyu;  Luo, Biao;  Liu, Derong;  Li, Yueheng
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Memristor-based Neural Networks  Pinning Control  Time-varying Delays  Exponential Synchronization  Asymptotic Synchronization  
Indirect Adaptive Interval Type-2 Fuzzy Sliding Mode Controller Design for Flexible Air-breathing Hypersonic Vehicles 会议论文
, Toulouse, France, July 9-14
作者:  Gao, Junlong;  Yuan, Ruyi;  Yi, Jianqiang;  Li, Chengdong
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Adaptive Control  Type-2 Fuzzy Logic System  Air-breathing Hypersonic Vehicle  Uncertainty  
Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems 期刊论文
NEUROCOMPUTING, 2017, 期号: 235, 页码: 147-156
作者:  Zhao, Bo;  Li, Yuanchun;  Liu, Derong
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Large-scale Nonlinear Systems  Partial Loss Of Actuator Effectiveness  Decentralized Fault Tolerant Control  Self-tuned Local Feedback Gain  Neural Network  
Linear impulsive control system with impulse time windows 期刊论文
JOURNAL OF VIBRATION AND CONTROL, 2017, 卷号: 23, 期号: 1, 页码: 111-118
作者:  Feng, Yuming;  Yu, Junzhi;  Li, Chuandong;  Huang, Tingwen;  Che, Hangjun
收藏  |  浏览/下载:189/0  |  提交时间:2017/01/23
Linear Impulsive Control System  Impulses  Impulse Time Windows  Asymptotic Stability  
Event-based Control and Filtering of Networked Systems: A Survey 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 3, 页码: 239-253
作者:  Lei Zou;  Zi-Dong Wang;  Dong-Hua Zhou
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Event-triggered transmission  networked systems  event-based control  event-based filtering  event-triggered distributed state estimation  distributed control with event-based protocol.