Estimating Uncertain Delayed Genetic Regulatory Networks: An Adaptive Filtering Approach，成果详细信息-中国科技论文在线

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Estimating Uncertain Delayed Genetic Regulatory Networks: An Adaptive Filtering Approach

段志生， Wenwu Yu ， Student Member ， IEEE ， Jinhu Lü ， Senior Member ， Guanrong Chen ， Fellow ， Zhisheng Duan ， and Qianhe Zhou

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL.54, NO.4, APRIL 2009，-0001，（）：

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摘要/描述

Uncertain delayed genetic regulatory networks are investigated from an adaptive filtering approach based on an adaptive synchronization setting. For an unknown regulatory network with time delay and uncertain noise disturbance, several adaptive laws are derived to ensure the stochastic stability of the error states between the unknown network and the estimated model. The novelty lies in the fact that the designed adaptive laws are independent of the unknown system states and parameters, requiring only the output and structure of the underlying network. A representative simulation example is given to verify the effectiveness of the theoretical results.

关键词: Adaptive filtering, disturbance attenuation, genetic regulatory network (GRN), stochastic stability, system synchronization, time delay ，

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