Molecular Networks in Dynamic Multilevel Systems
نویسندگان
چکیده
منابع مشابه
Dynamic Sliding Mode Control of Nonlinear Systems Using Neural Networks
Dynamic sliding mode control (DSMC) of nonlinear systems using neural networks is proposed. In DSMC the chattering is removed due to the integrator which is placed before the input control signal of the plant. However, in DSMC the augmented system is one dimension bigger than the actual system i.e. the states number of augmented system is more than the actual system and then to control of such ...
متن کاملDynamic Compensation of Electrical Power Systems Using Multilevel Voltage Source Inverter
A New Static Var Generator (SVG), using cascaded full-bridge inverters (FBI) with binary output levels and the parallel connections of two cascaded inverters by means of current sharing reactor in each phases is introduced. The new M-level inverter, where M is 2n+2 - 3, consists of only 2n single-phase full bridges for each phases. The proposed technique not only increases the current capacity ...
متن کاملSingle Assignment Capacitated Hierarchical Hub Set Covering Problem for Service Delivery Systems Over Multilevel Networks
The present study introduced a novel hierarchical hub set covering problem with capacity constraints. This study showed the significance of fixed charge costs for locating facilities, assigning hub links and designing a productivity network. The proposed model employs mixed integer programming to locate facilities and establish links between nodes according to the travel time between an origin-...
متن کاملDynamic Networks in Systems Medicine
cine? Maybe there is not a simple answer. Until recently, scientists from mathematics, physics, statistics, machine learning, computer science, and similar quantitative/ computational disciplines were converging to bioinformatics for known reasons. A main one was to support the experimental and theoretical work of their colleagues in medicine and biology requiring specific data analysis and inf...
متن کاملMolecular networks in model systems.
Model organisms, especially the budding yeast, are leading systems in the transformation of biology into an information science. With the availability of genome sequences and genome-scale data generation technologies, the extraction of biological insight from complex integrated molecular networks has become a major area of research. Here I examine key concepts and review research developments. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chemistry - A European Journal
سال: 2018
ISSN: 0947-6539
DOI: 10.1002/chem.201804143