Analysis and synthesis of a class of discrete-time neural networks with nonlinear interconnections

[1992] Proceedings of the 31st IEEE Conference on Decision and Control ◽

10.1109/cdc.1992.371323 ◽

2005 ◽

Author(s):

J. Si ◽

A.N. Michel

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Analysis And Synthesis

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Analysis and synthesis of a class of discrete-time neural networks described on hypercubes

10.1109/iscas.1990.112175 ◽

2002 ◽

Author(s):

A.N. Michel ◽

J. Si ◽

G. Yen

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Analysis And Synthesis

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Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons

IEEE Transactions on Neural Networks ◽

10.1109/72.363445 ◽

1995 ◽

Vol 6 (1) ◽

pp. 105-116 ◽

Cited By ~ 39

Author(s):

J. Si ◽

A.N. Michel

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Analysis And Synthesis

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Stability analysis and synthesis algorithm of a class of discrete-time neural networks

Mathematical and Computer Modelling ◽

10.1016/0895-7177(94)00193-r ◽

1995 ◽

Vol 21 (1-2) ◽

pp. 1-29 ◽

Cited By ~ 5

Author(s):

G.G. Yen ◽

A.N. Michel

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Discrete Time ◽

Synthesis Algorithm ◽

Analysis And Synthesis

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Analysis and synthesis of a class of discrete-time neural networks with nonlinear interconnections

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/81.260221 ◽

1994 ◽

Vol 41 (1) ◽

pp. 52-58 ◽

Cited By ~ 13

Author(s):

J. Si ◽

A.N. Michel

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Analysis And Synthesis

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Analysis and synthesis of discrete-time neural networks with multilevel threshold functions

1991., IEEE International Sympoisum on Circuits and Systems ◽

10.1109/iscas.1991.176650 ◽

2002 ◽

Cited By ~ 12

Author(s):

J. Si ◽

A.N. Michel

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Threshold Functions ◽

Analysis And Synthesis

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Analysis and synthesis of a class of discrete-time neural networks described on hypercubes

IEEE Transactions on Neural Networks ◽

10.1109/72.80289 ◽

1991 ◽

Vol 2 (1) ◽

pp. 32-46 ◽

Cited By ~ 112

Author(s):

A.N. Michel ◽

J. Si ◽

G. Yen

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Analysis And Synthesis

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Analysis and synthesis techniques for Hopfield type synchronous discrete time neural networks with application to associative memory

IEEE Transactions on Circuits and Systems ◽

10.1109/31.62410 ◽

1990 ◽

Vol 37 (11) ◽

pp. 1356-1366 ◽

Cited By ~ 73

Author(s):

A.N. Michel ◽

J.A. Farrell ◽

H.-F. Sun

Keyword(s):

Neural Networks ◽

Associative Memory ◽

Discrete Time ◽

Synthesis Techniques ◽

Analysis And Synthesis

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Parameter-Dependent Lyapunov Functions and the Discrete-Time Popov Criterion for Robust Analysis and Synthesis

1992 American Control Conference ◽

10.23919/acc.1992.4792137 ◽

1992 ◽

Author(s):

Wassim M. Haddad ◽

Dennis S. Bernstein

Keyword(s):

Discrete Time ◽

Lyapunov Functions ◽

Robust Analysis ◽

Analysis And Synthesis ◽

Parameter Dependent

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Guaranteed cost synchronization of discrete-time chaotic neural networks with missing measurements and randomly occurring sensor nonlinearity

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188966 ◽

2020 ◽

Author(s):

Hao Zhang ◽

Tong Wang ◽

Qingshuang Zeng ◽

Jianbin Qiu

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Missing Measurements ◽

Chaotic Neural Networks ◽

Guaranteed Cost

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Estimation of the Domain of Attraction of Discrete-Time Impulsive Cohen-Grossberg Neural Networks Model With Impulse Input Saturation

Neural Processing Letters ◽

10.1007/s11063-021-10498-7 ◽

2021 ◽

Author(s):

Zixiang Shen ◽

Chuandong Li ◽

Yi Li

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Input Saturation ◽

Domain Of Attraction

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