26 شهریور 1400

محمد محمدیان

مرتبه علمی: استادیار
نشانی:
تحصیلات: دکترای تخصصی / برق-کنترل
تلفن: 08633400
دانشکده: دانشکده مهندسی برق

مشخصات پژوهش

عنوان Decentralized Controller Design for Stochastic Gene Regulatory Networks
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Gene regulatory networks, Noise to state stability, Decentralized control, Linear matrix inequality
مجله journal of electrical and computer engineering innovations
شناسه DOI https://dx.doi.org/10.22061/JECEI.2020.6640.331
پژوهشگران محمد محمدیان (نفر اول)

چکیده

Regulation of protein expression in cellular level are so challenging. In cellular scale, biochemical processes are intrinsically noisy and many convenient controllers aren’t physically implementable. This paper deals with the design of implementable controller for stochastic gene regulatory networks with multiplicative and additive noises. In particular, we consider structural limitations that are present in real cellular systems and design the decentralized feedback that guarantees noise to state stability. To do this end, we consider standard Lyapunov function and by using Ito formula and stochastic analysis, we derive sufficient conditions for noise to state stability presented in the form of matrix inequalities. In the next step, by defining appropriate change of variables, matrix inequalities are transformed to Linear matrix inequalities which can be used to synthesize controller with the desired structure. Since the proposed conditions for controller design are in the form of linear matrix inequalities, controller gains can be derived efficiently through solving presented LMIs numerically. It is noteworthy that Because of its simple structure, the proposed controller can be implemented universally in many cells. Finally, we consider a synthetic gene regulatory network and investigate the effectiveness of the proposed controller by simulations.