Delay-Dependent Filtering for Stochastic Nonlinear Genetic Regulatory Networks with Time-Varying Delays and Extrinsic Noises
محل انتشار: بیست و یکمین کنفرانس مهندسی برق ایران
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 887
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شناسه ملی سند علمی:
ICEE21_047
تاریخ نمایه سازی: 27 مرداد 1392
چکیده مقاله:
In this paper, the delay-dependent filtering problem is investigated for a more realistic nonlinear genetic regulatory network (GRN) with time-varying delays, stochastic intrinsicnoises and extrinsic noise, where the stochastic noises exist in both the state dynamics and measurement equations. Thepurpose of the addressed filtering problem is to estimate the true concentrations of gene products such as mRNAs and proteins. Specifically, we are interested in designing a delaydependent L2 −L∞ linear filter such that for all admissible nonlinearities, time-varying delays as well as intrinsic andextrinsic noises, the filtering error dynamics is asymptotically mean square stable with a prescribed L2 −L∞ attenuation level.The delay decomposition approach is first used to derivesufficient conditions in the form of linear matrix inequalities (LMIs) that guarantee the desired filtering performance, andthe filter gains are then characterized as the solution to a set of LMIs. Finally, a simulation example is given to verify the effectiveness of the theoretical results
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نویسندگان
N. S. Hosseini
School of Electrical and Computer Engineering, Tarbiat Modares University