Adaptive approximation of signals using pseudoinversion methods

Autor: Fedir G. Garashchenko, Vladimir T. Matvienko

Publikováno v: Системні дослідження та інформаційні технології; № 4 (2017); 109-118
Системные исследования и информационные технологии; № 4 (2017); 109-118
System research and information technologies; № 4 (2017); 109-118

In order to solve the important applied problems it is necessary to approximate the experimental data. In this paper, we consider the problem of adaptive data approximation and propose the general iterative scheme. This procedure has two cycles: inte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bffa8f27a0dd6aba6ff6a6cce4c907ac
http://journal.iasa.kpi.ua/article/view/119459

Algorithms of Asymptotic, Terminal and Adaptive Stabilization of Rotary Motions of a Rigid Body

Autor: Vladimir T. Matvienko, Nikolay Fedorovich Kirichenko

Publikováno v: Journal of Automation and Information Sciences. 35:1-9

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a5528f24e613259573914a8e4647343
https://doi.org/10.1615/jautomatinfscien.v35.i1.10

Optimal Synthesis of Structures for Linear Control Systems

Autor: Vladimir T. Matvienko, Nikolay Fedorovich Kirichenko

Publikováno v: Journal of Automation and Information Sciences. 30:18-28

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ad2b87a30aaa6745f3ba4ec5f50fdfd
https://doi.org/10.1615/jautomatinfscien.v30.i1.20