Davronbek Khalmatov

@web.ttyesi.uz

Department of Automation and Control of Technological Processes and Production
Tashkent Institute Textile and Light Industry

Davronbek Khalmatov


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https://researchid.co/davronbek

EDUCATION

Candidate of Technical Sciences, Associate Professor

RESEARCH, TEACHING, or OTHER INTERESTS

Control and Systems Engineering, Engineering, Industrial and Manufacturing Engineering
10

Scopus Publications

161

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Adaptive system for regulating the drying process of cotton in drum dryers
    Davronbek A. Khalmatov, Yusupjan Mamasodikov, Nodira Y. Mamasodikova, Anvarjon R. Boymirzayev, Umida Y. Xusanova
    Proceedings of SPIE the International Society for Optical Engineering, 2025
  • Optimization of control system parameters under deterministic and random perturbations
    N. Yu. Mamasodikova, Y. Mamasodikov, D. A. Khalmatov, E. J. Alikhonov
    Aip Conference Proceedings, 2025
  • Neural network control of a nonlinear dynamic plant with a predictive model
    Isamidin Siddikov, Davronbek Khalmatov, Dilnoza Khushnazarova, Ulugbek Khujanazarov
    International Journal of Electrical and Computer Engineering, 2024
    The paper considered the possibilities of applications of neural network technologies to control a dynamic plant with nonlinear properties. To give the control system the desired dynamic property, the use of a neural network predictive controller is proposed. The model of the control plant is in the form of a multilayer forward-directional neural network, which allows us to construct a controller using generalized equation methods with prediction. A neural network control algorithm with prediction based on minimizing the quadratic quality functional is proposed. The algorithm makes it possible to minimize the root mean square error of regulation and the control signal rate of change. To determine the sequences of optimal control impacts, the application of the Newton-Raphson method is proposed. To reduce computational costs when receiving control signals, the decomposition of the original matrix, represented as a Hess matrix, is carried out. To predict the behavior of a control plant, a formula is proposed for calculating the gradient of a neural network, discrepant by the possibility of its use in the real-time mode of the control. The proposed algorithm of the neural network control with predictive allows higher quality control of complex nonlinear dynamic plants in the real-time mode.
  • Nonlinear systems control algorithm with backstepping method
    Isamidin Siddikov, Davronbek Khalmatov, Dilnoza Khushnazarova, Ulugbek Khujanazarov
    E3s Web of Conferences, 2024
    The article gives the possibilities of applications of the backstepping method for solving the problem of synthesis of a control system for the nonlinear dynamic plant with indefinably changing parameters. Has been modified the well-known method of backstepping inclusion in the control system of the state observer, allows for the restoration of unmeasured coordinates with a differentiating unit, due to which substantially simplified the definition of customizable parameters of control device and provides the desired dynamic accuracy of control.
  • Investigation of auto-oscilational regimes of the system by dynamic nonlinearities
    International Journal of Electrical and Computer Engineering, 2024
  • Synthesis of synergetic laws of control of nonlinear dynamic plants
    Isamidin Siddikov, Davronbek Khalmatov, Dilnoza Khushnazarova
    E3s Web of Conferences, 2023
    Given in the work the facilities of applying the methods of the synergistic approach for the synthesis of the law of control of nonlinear dynamic plants. To give, robust properties of the control law were proposed by applying a principle of integral adaptation, which permitted compensation for the impact of the external and parametric disturbances. The realization synergistic law of control is carried out by when constructing the analytical design of aggregated controllers, which procure asymptotic sustainability of the control system for nonlinear dynamic plants. For procuring technological invariance proposed principle of the synergistic control. Formulated an extended dynamical model of the system, which included external and internal disturbances. The essence of proposing the approach is to use an extended model of the plant, taking into account disturbances due to the switching on of integrators and procuring compensation for the influence of disturbances, in distinction from known ones, where uses separate models for each disturbance. The suggested methodology has confirmed examples of digital simulation and has shown an efficient proposed approach to tasks synthesis of a nonlinear system of control with dynamical plants, procuring asymptotic sustainability of the control system and recouping unmeasured and internal disturbance.
  • Algorithm for the synthesis of a predictive control system for the tape pulling process
    Isamidin Sidikov, Davronbek Khalmatov, Gulchekhra Alimova
    E3s Web of Conferences, 2023
    Automation of the technological process of product manufacture via the application of contemporary management techniques is one approach to boost the production efficiency of the textile industry. Many characteristics of the manufacturing technology equipment should be considered in these techniques. This paper aims to present an algorithm for the synthesis of an automatic control system for the process of pulling the tape, based on the application of the predictive control method. To improve the quality of control by reducing the static error and over-regulating the transient process, an integral component was introduced into the control system circuit, which allows us to give the properties of the astatism of the system, taking into account the implementation of restrictions imposed on state variables and setting influences. Based on the comparative analysis, the advantages of the proposed approach are determined, which allows ensuring good performance of the control system in conditions of various types of disturbances. The proposed algorithm is versatile and can be applied to a control system, provided that strict restrictions are imposed on the control object on the disturbing effects and on the dynamic properties of the object.
  • Algorithms for synthesis of a fuzzy control system chemical reactor temperature
    Ceur Workshop Proceedings, 2021
  • Development of neural network forecasting models of dynamic objects from observed data
    Ceur Workshop Proceedings, 2021
  • Formalization of the cotton drying process based on heat and mass transfer equations
    Sayyora Yunusnova, Toshkenboyevna, Davron Holmatov, Abdalimovich, Muhiddin Atajonov, et al.
    Iium Engineering Journal, 2020
    The paper deals with the construction of a mathematical model of the cotton drying process, taking into account the thermal and mass transfer properties of raw cotton components. To determine changes in the temperature of the fibre and raw cotton seeds, the application of Fourier's law is proposed. The mathematical dependence of the change on the humidity of the cotton fibre and seeds along the length of the drum is determined. The rational value of the heat agent consumption in the process of drying raw cotton is also determined. Research methods are based on the provisions of modern trends in management theory and identification. Mathematical models are constructed using analytical methods and equations that describe the physical properties of an object. Methods for constructing a mathematical model usually rely on experimental methods, in particular, the method of acceleration curves, and as a result, the mathematical description becomes a priori inaccurate. It is shown that the mathematical model used is quite adequate for the dynamics of a real object, fully describes it, and characterizes it over the entire range of changes. The analysis of the developed mathematical model based on simulation showed the adequacy of the obtained mathematical dependence of the temperature regime of the cotton drying process with the consumption of heat agent. ABSTRAK: Kajian ini membincangkan tentang penciptaan model matematik bagi proses pengeringan kapas, dengan mengambil kira terma dan sifat-sifat pindah jisim komponen kapas mentah. Bagi mendapatkan perubahan suhu fabrik dan biji benih kapas mentah, penggunaan hukum Fourier telah dicadangkan. Kebergantungan matematik pada perubahan kelembapan fabrik kapas dan biji benih sepanjang drum telah diperolehi. Nilai bersesuaian menggunakan ejen haba dalam proses pengeringan kapas kering mentah didapati. Kaedah kajian berdasarkan tren moden dalam teori pengurusan dan pengenalpastian. Model matematik dibina dengan menggunakan kaedah analisis dan persamaan yang menerangkan ciri-ciri fizikal pada objek. Kaedah bagi membina model matematik selalunya bergantung pada kaedah eksperimen, khususnya, kaedah pecutan melengkung, dan hasilnya, penyataan penaakulan matematik menjadi tidak tepat. Model matematik yang digunakan adalah cukup bagi objek dinamik sebenar, dengan penerangan penuh dan perincian ke atas keseluruhan perubahan. Analisis model matematik yang terhasil berdasarkan simulasi, dilihat cukup kebergantungan matematik terhasil melalui proses pengeringan kapas pada aturan suhu dengan ejen haba.

RECENT SCHOLAR PUBLICATIONS

  • Synergetic synthesis of a neural network controller for an adaptive control of a nonlinear dynamic plant.
    I Siddikov, D Khalmatov, Z Iskandarov, D Khushnazarova
    International Journal of Electrical & Computer Engineering (2088-8708) 15 (6) , 2025
    2025
  • Fuzzy control system for yarn tension in the warping process
    T Avezov, Z Iskandarov, U Khujanazarov
    AIP Conference Proceedings 3377 (1), 060006 , 2025
    2025
  • Adaptive system for regulating the drying process of cotton in drum dryers
    DA Khalmatov, Y Mamasodikov, NY Mamasodikova, AR Boymirzayev, ...
    Optical and Computational Technologies for Measurements and Industrial … , 2025
    2025
  • Optimization of control system parameters under deterministic and random perturbations
    NY Mamasodikova, Y Mamasodikov, DA Khalmatov, EJ Alikhonov
    AIP Conference Proceedings 3268 (1), 050035 , 2025
    2025
    Citations: 3
  • Digital adaptive control with pulse width modulation of signals.
    I Siddikov, G Alimova, M Rustamova, M Usanov
    International Journal of Electrical & Computer Engineering (2088-8708) 15 (1) , 2025
    2025
    Citations: 1
  • Self-Tuning system of regulation of technological parameters of cotton ginning process
    IX Siddikov, GR Alimova, MM Usanov
    AIP Conference Proceedings 3244 (1), 030057 , 2024
    2024
    Citations: 1
  • Neural network control of a nonlinear dynamic plant with a predictive model
    I Siddikov, D Khalmatov, D Khushnazarova, U Khujanazarov
    International Journal of Electrical and Computer Engineering (IJECE) 14 (5 … , 2024
    2024
    Citations: 3
  • ФАЗЗИ РЕГУЛИРОВАНИЕ СКОРОСТИ ДВИГАТЕЛЬ ПОСТОЯННОГО ТОКА
    ИХ Сиддиков, ГР Алимова, ММ Усанов
    IMRAS 7 (6), 478-486 , 2024
    2024
  • Investigation of auto-oscilational regimes of the system by dynamic nonlinearities
    I Siddikov, D Khalmatov, G Alimova, U Khujanazarov, S Feruzaxon, ...
    International Journal of Electrical and Computer Engineering (IJECE) 14 (1 … , 2024
    2024
    Citations: 11
  • Nonlinear systems control algorithm with backstepping method
    I Siddikov, D Khalmatov, D Khushnazarova, U Khujanazarov
    E3S Web of Conferences 508, 04004 , 2024
    2024
    Citations: 4
  • Paxtani quritish jarayonida issiqlik rejimini mikroprossesorli boshqarish tizimi
    DA Xalmatov, XB Mirzaaxmedova, NA Niyazova
    “Muqobil energiya manbalaridan samarali foydalanish muammolari va yechimlari … , 2023
    2023
  • Quritish jarayonining iformatsion modeli
    DA Xalmatov, NA Niyazova, M Nazarov
    “Paxta tozalash, to’qimachilik va yengil sanoat sohalarining texnologiyasini … , 2023
    2023
  • Paxtani quritish jarayoninig matematik modeli
    DA Xalmatov, XB Mirzaahmedova, XA Tursunxodjaeva, N Sadullayev
    “Paxta tozalash, to’qimachilik va yengil sanoat sohalarining texnologiyasini … , 2023
    2023
  • Исследование цифровой системы управления технологическими процессами
    ИХ Сиддиков, ДА Халматов, ДР Хушназарова
    “Paxta tozalash, to’qimachilik va yengil sanoat sohalarining texnologiyasini … , 2023
    2023
  • Моделирование линейных автоматических систем регулирования с использованием программы Matlab
    ХДР Халматов Д.А., Алимова Г.Р.
    Научный вестник НамГУ, 104-112 , 2023
    2023
  • Адаптивный бекстеппинг конструирования регуляторов систем
    ХДР Халматов Д.А.
    II-международная научная конференция «Научные основы использования … , 2023
    2023
  • Algorithm for the synthesis of a predictive control system for the tape pulling process
    I Sidikov, D Khalmatov, G Alimova
    E3S Web of Conferences 389, 01083 , 2023
    2023
    Citations: 10
  • Teskari bog‘lanish bilan qamrab olingan aperiodik zveno integrator sifatida
    TXA Xalmatov D.A., Xushnazarova D.R.
    “Ilm-fan va ishlab chiqarish integratsiyasi: muammo va yechimlar-2023 … , 2023
    2023
  • Алгоритм синтеза управления одномерных нелинейных объектов
    ХДР Халматов Д.А.
    Международная научно-практическая конференция «Актуальные задачи … , 2023
    2023
  • Управление скоростью в асинхронного двигателя с методом бекстеппинга
    ХДР Сиддиков И.Х., Халматов Д.А.
    To‘qimachilik va yengil sanoatda ilmhajmdor innovatsion texnologiyalar va … , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Algorithms for synthesis of a fuzzy control system chemical reactor temperature
    I Siddikov, N Mamasodikova, O Rayimdjanova, D Khalmatov, ...
    CEUR Workshop Proceedings 2899, 64-70 , 2021
    2021
    Citations: 31
  • Formalization of the cotton drying process based on heat and mass transfer equations
    HUO Halmatov D.A., Yunusova S.T., Atajonov M.O.
    IIUM Engineering Journal 21 (2), 256-265 , 2020
    2020
    Citations: 20
  • Development of neural network forecasting models of dynamic objects from observed data
    GP I.Siddikov, N.Mamasodikova, D.Khalmatov, N.Kadirova, O.Mirjalilov
    III International Workshop on Modeling, Information Processing and Computing … , 2021
    2021
    Citations: 16
  • Analysis of Quality Indicators of Mixed Spun Wool Yarns
    KSA Ochilov Tulkin Ashurovich, Khalmatov Davronbek Abdalimovich, Shumqorova ...
    Annals of the Romanian Society for Cell Biology 25 (4), 779 - 786 , 2021
    2021
    Citations: 13
  • Investigation of auto-oscilational regimes of the system by dynamic nonlinearities
    I Siddikov, D Khalmatov, G Alimova, U Khujanazarov, S Feruzaxon, ...
    International Journal of Electrical and Computer Engineering (IJECE) 14 (1 … , 2024
    2024
    Citations: 11
  • Algorithm for the synthesis of a predictive control system for the tape pulling process
    I Sidikov, D Khalmatov, G Alimova
    E3S Web of Conferences 389, 01083 , 2023
    2023
    Citations: 10
  • Changes in the Uneven Indexes of Sliver and Threads by Different Technological Processes
    MAM M.R.Atanafasov, T.A.Ochilov, R.X.Norboev, D.A.Khalmatov
    International Journal of Recent Technology and Engineering (IJRTE). 9 (1 … , 2020
    2020
    Citations: 8
  • Synthesis of synergetic laws of control of nonlinear dynamic plants
    I Siddikov, D Khalmatov, D Khushnazarova
    E3S Web of Conferences 452, 06024 , 2023
    2023
    Citations: 7
  • Adaptive fuzzy control system for multi-dimensional dynamic object under the conditions of uncertainty of information
    DA Khalmatov, UO Khuzhanazarov, GR Alimova, JM Murodov
    International journal of advanced research in science, engineering and … , 2021
    2021
    Citations: 6
  • Nonlinear systems control algorithm with backstepping method
    I Siddikov, D Khalmatov, D Khushnazarova, U Khujanazarov
    E3S Web of Conferences 508, 04004 , 2024
    2024
    Citations: 4
  • Optimization of control system parameters under deterministic and random perturbations
    NY Mamasodikova, Y Mamasodikov, DA Khalmatov, EJ Alikhonov
    AIP Conference Proceedings 3268 (1), 050035 , 2025
    2025
    Citations: 3
  • Neural network control of a nonlinear dynamic plant with a predictive model
    I Siddikov, D Khalmatov, D Khushnazarova, U Khujanazarov
    International Journal of Electrical and Computer Engineering (IJECE) 14 (5 … , 2024
    2024
    Citations: 3
  • Synthesis of the neural electromechanical object control.
    ZE Iskandarov, DA Khalmatov, UO Khujanazarov
    Chemical technology. Control and management. International scientific and … , 2022
    2022
    Citations: 3
  • Development of neural network forecasting models of dynamic objects from observed data
    S Isamiddin, N Mamasodikova, D Khalmatov, N Kadirova, O Mirjalilov, ...
    2021
    Citations: 3
  • Change efficiency of cleaning cotton from small and large pollutions
    AVA D.X.Ubaydullaeva, T.A.Toyirova, M.T.Yuldasheva, D.A.Khalmatov
    International Journal of Advanced Research in Science, Engineering and … , 2020
    2020
    Citations: 3
  • Software tool monitoring process of processing raw cotton
    SN Halmatov D.A., Yunusovа S.T., HuzhanazarovU.O.
    International Journal of Advanced Research in Science, Engineering and … , 2019
    2019
    Citations: 3
  • Algorithm for the synthesis of the control system of a double mass elastic dynamic object
    DAK I.Kh.Siddikov, G.R.Alimova
    Chemical Technology, Control and Management 2021 (4), 68-73 , 2021
    2021
    Citations: 2
  • Формализация процесса сушки-хлопка на основе уравнений тепломассообмена
    УОХ Сидиков И.Х., Халматов Д.А., Юнусова С.Т.
    Международный научный журнал “Наука. Образование. Техника”. г.Ош. Киргизия … , 2019
    2019
    Citations: 2
  • Monitoring of technological safety of industrial facilities in the conditions of fuzzy source information.
    UK A.Marakhimov, I.Siddikov, D.Khalmatov
    VI International Scientific and Technical conference “Modern equipment and … , 2013
    2013
    Citations: 2
  • Некоторые вопросы прогнозирования и контроля параметров сушки хлопка сырца
    ИИЛ Сиддиков И.Х., Халматов Д.А.
    Международный научно-технический журнал «Химическая технология. Контроль и … , 2007
    2007
    Citations: 2