Synthesis of a Quasi-Optimal Control System Using the Maximum Condition of Generalized Power Under Fuzziness of Operation Modes’ Boundaries

Autor: Andrey Kostoglotov, Sergey Lazarenko

Publikováno v: Proceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22) ISBN: 9783031196195

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f28fc71a4cfe1f32f9ffca965a4022dd
https://doi.org/10.1007/978-3-031-19620-1_42

Method for the Synthesis of Adaptive Algorithms for Estimating the Parameters of Dynamic Systems Based on the Decomposition Principle and the Joint Maximum Methodology

Autor: Anton S. Penkov, Sergey Lazarenko, Andrey Kostoglotov

Publikováno v: UNIVERSITY NEWS. NORTH-CAUCASIAN REGION. NATURAL SCIENCES SERIES. :22-28

A method of synthesis of a filter for estimating the state of dynamic systems of Kalman type with an adaptive model built on the basis of the principle of decomposition of the system using kinematic relations from the condition of constancy of motion

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2cee6a06b5fb2cbc80afbbd517d40242
https://doi.org/10.18522/1026-2237-2020-4-22-28

Development of a Structurally Fuzzy Regulator Based on the Condition of the Maximum of the Generalized Power Function Under Constraints on Control

Autor: Sergey Valeryevich Lazarenko, Andrey Kostoglotov, Alexander A. Agapov

Publikováno v: Lecture Notes in Networks and Systems ISBN: 9783030871772

The problem of control of nonlinear systems class, allowing representation in the form of Lagrange equations of the second kind, under conditions of limitation on the value of the control action is considered. A structurally fuzzy regulator based on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::90dd5bffc0987d51db876c890fbb1969
https://doi.org/10.1007/978-3-030-87178-9_57

Synthesis of Multi-model Algorithms for Intelligent Estimation of Motion Parameters Under Conditions of Uncertainty Using Condition of Generalized Power Function Maximum and Fuzzy Logic

Autor: Sergey Lazarenko, Andrey Kostoglotov, Anton S. Penkov, Igor Pugachev

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030500962

The article considers the problems relating the estimation of the motion parameters under conditions of uncertainty, which are caused by the lack of a priori information about the nature of the movement of the controlled object. Using traditional kin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0cf4144b168e8bccad9023b1607866ae
https://doi.org/10.1007/978-3-030-50097-9_55

Synthesis of adaptive tracking systems based on the hypothesis of stationarity of the Hamiltonian on the switching hypersurface

Autor: Andrey Kostoglotov, Sergey Valeryevich Lazarenko

Publikováno v: Journal of Communications Technology and Electronics. 62:123-127

Application of the method of the combined maximum principle to the synthesis of filters for tracking maneuvering aircrafts is demonstrated. The derived estimation equations are determined to within the synthesizing function. In constructing this func

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de12eb38fe87113edc3cdbc6b0c3b0c5
https://doi.org/10.1134/s1064226917020061