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Full-Text Articles in Controls and Control Theory

Development Of A Criterion Assessing The Level Of Relationship Of Multiple Identified Characteristics For Classification, Mirzoyan Mirzaaxmedovich Kamilov, Oybek Zokirovich Koraboshev, Bobomurod Mamitjonovich Tojiboev Feb 2024

Development Of A Criterion Assessing The Level Of Relationship Of Multiple Identified Characteristics For Classification, Mirzoyan Mirzaaxmedovich Kamilov, Oybek Zokirovich Koraboshev, Bobomurod Mamitjonovich Tojiboev

Chemical Technology, Control and Management

This article discusses an optimized version of the standard design developed by Yu.I.Zhuravlev, an optimization procedure through an algebraic approach based on precedent algorithms that solves the problem of pattern identification. The formation of the convex hull of the recognition operator and corrective procedures of information models by mutual compensation of each other was also studied. In addition, the functional connection of recognition operators and the definition of idempotent connection of operators are analyzed.


Algorithms For Synthesis Of Adaptive Control Systems With A Customized Model Using The Speed Gradient Method, Jasur Sevinov, Oxunjon Boborayimov Dec 2023

Algorithms For Synthesis Of Adaptive Control Systems With A Customized Model Using The Speed Gradient Method, Jasur Sevinov, Oxunjon Boborayimov

Chemical Technology, Control and Management

Algorithms are considered for the synthesis of adaptive control systems with a customized model based on the speed gradient method. For the synthesis of adaptive control systems, the identification approach is based on obtaining estimates of the unknown parameters in the object. By calculating the speed gradient, identification algorithms with an explicit and implicit customized model were obtained as well as that in sliding modes. A joint solution is given to the interrelated problems of identifying parameters with insufficient current information. The position of an object is about assessing the state with insufficient a priori information about its parameters. This …


Synthesis Problem Of Adaptive Control Systems For Multi-Channel And Multi-Mode Objects, Jasur Usmonovich Sevinov, Abdishukurov Maqsud O'G'Li Shavkat Mr, Nasriddin Xasanovich Bobomurodov Oct 2023

Synthesis Problem Of Adaptive Control Systems For Multi-Channel And Multi-Mode Objects, Jasur Usmonovich Sevinov, Abdishukurov Maqsud O'G'Li Shavkat Mr, Nasriddin Xasanovich Bobomurodov

Chemical Technology, Control and Management

The issue of synthesis of an adaptive control system for multi-channel and multi-mode objects is considered. Development that of effective adaptive control algorithms for nonlinear dynamic systems ensure quality indicators of processes. In technological processes, it is necessary to control several parameters or several systems at the same time. For such a process control system, an adaptive control system is created. Work has been carried out on structural projects for the installation of adaptive systems. The stable requirements for the correction of adaptive control systems are seen. A review of several parametric deviation detections, based on the reference model and …


The Morphology Analysis Of Soil In Remote Sensing Image Processing, Mirzayan Mirzaaxmedovich Kamilov, Mirzaakbar Xakkulmirzayevich Hudayberdiev, Bobomurod Mamitjonovich Tojiboev Aug 2023

The Morphology Analysis Of Soil In Remote Sensing Image Processing, Mirzayan Mirzaaxmedovich Kamilov, Mirzaakbar Xakkulmirzayevich Hudayberdiev, Bobomurod Mamitjonovich Tojiboev

Chemical Technology, Control and Management

This article analyzed various techniques used in satellite image processing to analyze soil morphology. Analysis of soil morphology using satellite imagery plays a crucial role in soil science research, Land Management, and environmental monitoring. It provides an economical and efficient means of studying large-scale soil variability, providing information on land sustainable use, resource management and soil conservation decisions.


A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova Aug 2020

A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova

Chemical Technology, Control and Management

Statistical data on information security that concerns Big Data and is the most important for enterprises are provided. Based on this data, we studied problems such as the lack of big data practices and protection, the lack of techniques for protecting big data, the lack of standards for protecting big data, the lack of regulation of big data and ecosystems, security problems in Big Data, and proposed several proposals to improve the security of systems that use this technology.


Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition, Uktam Farkhodovich Mamirov Aug 2020

Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition, Uktam Farkhodovich Mamirov

Chemical Technology, Control and Management

The questions of formation and construction of algorithms for identification of elements of the transition matrix of controlled objects in conditions of parametric uncertainty are considered. To identify elements of the transition matrix, we suggest using a custom model based on the type of Kalman filtration equations. Algorithms for stable calculation of a pseudo-inverse matrix using matrix decomposition are analyzed. Regular algorithms for solving argumentative problems of minimization of the identification quality criterion are given. These algorithms allow us to regularize the problem of adaptive identification of the transition matrix of an object based on regular methods for minimizing functionals …


Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar Feb 2020

Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar

Chemical Technology, Control and Management

This article analyzes the problems of implementing image recognition methods and algorithms for identifying biological objects. The Orthoptera group was chosen as a biological object. Orthoptera is a taxonomic order of insects that includes grasshoppers, crickets, locusts, and others. Approaches to the formation and identification of features of Orthoptera species and the formation of training and control samples of their samples are proposed. Estimation algorithms (ACE) were chosen as algorithmic support for identifying Orthoptera collections. ACE is based on the principle of partial priority. Approaches to the formation of a training and testing complex based on the data from the …