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Global stability of interval recurrent neural networks 被引量:1
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作者 袁铸钢 刘志远 +1 位作者 裴润 申涛 《Journal of Beijing Institute of Technology》 EI CAS 2012年第3期382-386,共5页
The robust global exponential stability of a class of interval recurrent neural networks(RNNs) is studied,and a new robust stability criterion is obtained in the form of linear matrix inequality.The problem of robus... The robust global exponential stability of a class of interval recurrent neural networks(RNNs) is studied,and a new robust stability criterion is obtained in the form of linear matrix inequality.The problem of robust stability of interval RNNs is transformed into a problem of solving a class of linear matrix inequalities.Thus,the robust stability of interval RNNs can be analyzed by directly using the linear matrix inequalities(LMI) toolbox of MATLAB.Numerical example is given to show the effectiveness of the obtained results. 展开更多
关键词 recurrent neural networks(RNNs) interval systems linear matrix inequalities(LMI) global exponential stability
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ROBUST GLOBAL EXPONENTIAL STABILITY OF UNCERTAIN IMPULSIVE SYSTEMS 被引量:3
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作者 刘斌 刘新芝 廖晓昕 《Acta Mathematica Scientia》 SCIE CSCD 2005年第1期161-169,共9页
By using the quasi-Lyapunov function, some sufficient conditions of global exponential stability for impulsive systems are established, which is the basis for the following discussion. Then, by employing Riccati inequ... By using the quasi-Lyapunov function, some sufficient conditions of global exponential stability for impulsive systems are established, which is the basis for the following discussion. Then, by employing Riccati inequality and Hamilton-Jacobi inequality approach, some sufficient conditions of robust exponential stability for uncertain linear/nonlinear impulsive systems are derived, respectively. Finally, some examples are given to illustrate the applications of the theory. 展开更多
关键词 Uncertain impulsive system interval matrix Riccati/Hamilton-Jacobi inequality global exponential stability robust global exponential stability
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