Design of State Estimator for Discrete-Time Neural Networks : Delay-Independent Approach(General)
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概要
- 論文の詳細を見る
In this Letter, the design problem of state estimator for a class of discrete-time neural networks is studied. A delay-independent linear matrix inequality (LMI) criterion for existence of the estimator is derived by using the Lyapunov method. The criterion can be easily solved by various convex optimization algorithms. A numerical example with simulation results is given to show the effectiveness of proposed method.
- 社団法人日本物理学会の論文
- 2008-05-15
著者
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Park Chang
Department of Chemical and Biochemical Engineering, Dongguk University
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Park Chang
Department Of Anatomic Pathology Chonnam National University Medical School
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Park Chang
Department Of Computer Engineering Yeungnam University
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PARK Ju
Robust Control and Nonlinear Dynamics Laboratory, Department of Electrical Engineering, Yeungnam Uni
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JUNG Ho-Youl
Department of Information and Communication Engineering, Yeungnam University
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Park Ju
Robust Control And Nonlinear Dynamics Laboratory Department Of Electrical Engineering Yeungnam Unive
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Jung Ho-youl
Department Of Information And Communication Engineering Yeungnam University
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PARK Chang
Department of Computer Engineering, Yeungnam University
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PARK Ju
Robust Control and Nonlinear Dynamics Laboratory, Department of Electrical Engineering, Yeungnam University
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