Titlebook: Mathematical Modeling and Supercomputer Technologies; 22nd International C Dmitry Balandin,Konstantin Barkalov,Iosif Meyerov Conference pro

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Solving of the Static Output Feedback Synthesis Problem in a Class of Block-Homogeneous Matrices of problem is solvable. The possible solutions of the synthesis problem with the given input matrix and the given output dimension are considered. It is shown that the problem of static output feedback synthesis can be reduced to solving an auxiliary problem of convex optimization with constraints given in the form of linear matrix inequality.

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https://doi.org/10.1007/978-3-031-24145-1artificial intelligence; computer hardware; computer networks; computer programming; computer systems; di

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978-3-031-24144-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Mathematical Modeling and Supercomputer Technologies978-3-031-24145-1Series ISSN 1865-0929 Series E-ISSN 1865-0937

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On the?Period Length Modulo , of?the?Numerators of?Convergents for?the?Square Root of?a?Prime Number period length . of this sequence modulo . is equal to .,? 2. or 4.,? where . is the period length of the continued fraction for the square root of the prime .. Namely, if the remainder of dividing . by 8 is equal to 7,? then . if the remainder of dividing . by 8 is equal to 3,? then . if the remainder of dividing . by 4 is equal to 1,? then

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Motif of?Two Coupled Phase Equations with?Inhibitory Couplings as?a?Simple Model of?the?Half-Center We propose a new simple model of the half-center oscillator (HCO) consists of two oscillatory neurons interacting via the inhibitory coupling. We found the regions of dynamics, typical for central pattern generators, in the parameter space of the model. Various bifurcation transitions between all these states are in the focus of the proposed study.

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Mathematical Modeling and Supercomputer Technologies22nd International C

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Evgeniya K. Guseva,Katerina A. Beklemysheva,Vasily I. Golubev,Viktor P. Epifanov,Igor B. Petrovl and analytical properties. They show how cooperation and the sharing of ideas and data between those engaged in pure and applied research can open new vistas in the study of tensor fields..978-3-662-50786-5978-3-642-27343-8Series ISSN 1612-3786 Series E-ISSN 2197-666X

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