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M-matrix-based globally asymptotic stability criteria for genetic regulatory networks with time-varying discrete and unbounded distributed delays.
Xian Zhang
Yuanyuan Han
Ligang Wu
Jiahua Zou
Published in:
Neurocomputing (2016)
Keyphrases
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asymptotic stability
genetic regulatory networks
sufficient conditions
global exponential stability
closed loop
hopfield neural network
linear matrix inequality
artificial intelligence
real time
neural network
machine learning
knowledge base
image segmentation
reverse engineering