退出可食用
发表于 2025-3-30 10:20:39
Solving of the Static Output Feedback Synthesis Problem in a Class of Block-Homogeneous Matrices ofproblem 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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发表于 2025-3-30 14:07:18
https://doi.org/10.1007/978-3-031-24145-1artificial intelligence; computer hardware; computer networks; computer programming; computer systems; di
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发表于 2025-3-30 20:37:39
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Anticlimax
发表于 2025-3-31 00:01:38
978-3-031-24144-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
歌唱队
发表于 2025-3-31 04:03:30
Mathematical Modeling and Supercomputer Technologies978-3-031-24145-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
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发表于 2025-3-31 08:38:39
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
血统
发表于 2025-3-31 10:16:28
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.
Chronological
发表于 2025-3-31 17:00:48
Mathematical Modeling and Supercomputer Technologies22nd International C
使成核
发表于 2025-3-31 17:36:02
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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发表于 2025-3-31 21:45:31
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