{"id":2089,"date":"2025-05-13T10:54:30","date_gmt":"2025-05-13T09:54:30","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=2089"},"modified":"2026-03-30T14:00:09","modified_gmt":"2026-03-30T13:00:09","slug":"26-5-1-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/26-5-1-en\/","title":{"rendered":"26.5.1 en"},"content":{"rendered":"\n<h4 class=\"wp-block-heading has-lora-font-family\"><strong>The concept of an automated control system for the production process of robotic complexes<\/strong><\/h4>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-medium-font-size wp-elements-37c3a1780ad079546057e0a82656b2ec\"><strong>K.Ch. Bzhikhatlov, A.D. Kravchenko<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-24a27e19 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<p class=\"has-text-color has-link-color has-lora-font-family has-medium-font-size wp-elements-53f47014b6d7b0bdfff77f9db451e97c\" style=\"color:#5b1919;text-decoration:underline\"><strong>Upload the full text<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2024\/11\/bzhi-1.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-aa126098b0ffc59bc9a0a7c88cc8de53\" style=\"line-height:1.4\"><strong><em>Abstract.<\/em><\/strong> This article presents the concept of an automated control system for the production process of robotic complexes. The diagram of the control system for the production process of robotic complexes and the structure of the interaction of agents in the described production model are shown. It is assumed that AI based on multi-agent neurocognitive architectures will be used as an intelligent decision-making system in the control system. Such a model will make it possible to simulate complex processes of interaction both between organizational nodes and between external actors. In the future, the system will be able to provide adequate planning at the organizational level, taking into account all available factors.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-009b4f8974dd0cc6142a5280def150dc\" style=\"line-height:1.4\"><strong><em>Keywords:<\/em><\/strong> robotics, production, intelligent systems, multiagent algorithms, automated control systems<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-aed46fffc25f92eb6bc82c16b659443a\" style=\"font-size:12px;line-height:1.4\"><strong>For citation<\/strong>. Bzhikhatlov K.Ch., Kravchenko A.D. The concept of an automated control system for the production process of robotic complexes. <em>News of the Kabardino-Balkarian Scientific Center of RAS.<\/em>2024. Vol. 26. No. 5. Pp. 13\u201328. DOI: 10.35330<strong>\/<\/strong>1991-6639-2024-26-5-13-28<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-medium-font-size wp-elements-66f67eb7c2bde266ec923035e90ce264\" style=\"line-height:1.4\"><\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-90e83b5e42dd6406784eb4590afc7c64 is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>References<\/strong><\/summary>\n<ol class=\"wp-block-list\">\n<li>The new high-tech strategy innovations for Germany. URL: https:\/\/ec.europa.eu\/futurium\/en\/system\/files\/ged\/hts_broschuere_engl_bf_1.pdf.<\/li>\n\n\n\n<li>Erboz G. How to define Industry 4.0: Main pillars of Industry 4.0. Managerial trends in the development of enterprises in globalization era. Slovakia. 2017. Pp. 761\u2013767.<\/li>\n\n\n\n<li>Badarinath R., Prabhu V.V. Advances in Internet of Things (IoT) in manufacturing. In: L\u00f6dding H., Riedel R., Thoben KD., von Cieminski G., Kiritsis D. (eds) Advances in production management systems. The path to intelligent, collaborative and sustainable manufacturing. IFIP Advances in Information and Communication Technology. Vol. 513. Pp. 111\u2013118. DOI: 10.1007\/978-3-319-66923-6_13<\/li>\n\n\n\n<li>Elhoone H., Zhang T., Anwar M., Desai S. Cyber-based design for additive manufacturing using artificial neural networks for Industry 4.0. International Journal of Production Research. 2019. Vol. 58. No. 9. Pp. 2841\u20132861. DOI: 10.1080\/00207543.2019.1671627<\/li>\n\n\n\n<li>Fordal J.M., Schj\u00f8lberg P., Helgetun H. et al. Application of sensor data based predictive maintenance and artificial neural networks to enable Industry 4.0. Advances in Manufacturing. Vol. 11. No. 2. Pp. 248\u2013263. DOI: 10.1007\/s40436-022-00433-x<\/li>\n\n\n\n<li>Schwebig A.I.M., Tutsch R. Compilation of training datasets for use of convolutional neural networks supporting automatic inspection processes in industry 4.0 based electronic manufacturing. Journal of Sensors and Sensor Systems. 2020. Vol. 9. No. 1. Pp. 167\u2013178. DOI: 10.5194\/jsss-9-167-2020<\/li>\n\n\n\n<li>Sanz D.O., G\u00f3mez Mu\u00f1oz C.Q., Garc\u00eda M\u00e1rquez F.P. Convolutional neural networks as a quality control in 4.0 industry for screws and nuts. Lecture Notes in Networks and Systems. Pp. 13\u201329. DOI: 10.1007\/978-981-19-1012-8_2<\/li>\n\n\n\n<li>Mujber T., Szecsi T., Hashmi M. Virtual reality applications in manufacturing process simulation. Journal of Materials Processing Technology. 2004. Vol. 155\u2013156. Pp. 1834\u20131838. DOI: 10.1016\/j.jmatprotec.2004.04.401<\/li>\n\n\n\n<li>Gramegna N., Corte E.D., Poles S. Manufacturing process simulation for product design chain optimization. Materials and Manufacturing Processes. 2011. Vol. 26. No. 3. Pp. 527\u2013533. DOI: 10.1080\/10426914.2011.564248<\/li>\n\n\n\n<li>Smirnov A., Shilov N., Shchekotov M. Ontology-based modelling of state machines for production robots in smart manufacturing systems. International Journal of Embedded and Real-Time Communication Systems. 2020. Vol. 11. No. 2. Pp. 76\u201391. DOI: 10.4018\/ijertcs.2020040105<\/li>\n\n\n\n<li>Yeom S.B., Ha E.-S., Kim M.-S. et al. Application of the discrete element method for manufacturing process simulation in the pharmaceutical industry. Pharmaceutics. 2019. Vol. 11. No. 8. P. 414. DOI: 10.3390pharmaceutics11080414<\/li>\n\n\n\n<li>Bzhikhatlov K.Ch., Pshenokova I. Intelligent spraying system of autonomous mobile agricultural robot. Smart Innovation, Systems and Technologies. 2023. Pp. 269\u2013278. DOI: 10.1007\/978-981-99-4165-0_25<\/li>\n\n\n\n<li>Bzhikhatlov K., Zammoev A., Kokova L., Pshenokova I. Autonomous robot for monitoring ground archaeological sites. Izvestiya SFedU Engineering sciences. 2023. Vol. 1. Pp. 100\u2013109. DOI: 10.18522\/2311-3103-2023-1-100-109<\/li>\n\n\n\n<li>Nagoev Z., Pshenokova I., Nagoeva O. et al. Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures. Cognitive Systems Research. Vol. 66. Pp. 82\u201388. DOI: 10.1016\/j.cogsys.2020.10.015<\/li>\n\n\n\n<li>Anchekov M.I., Apshev A.Z., Bzhikhatlov K.Ch. et al. Formal genome model of a general artificial intelligence agent based on multi-agent neurocognitive architectures. News of the Kabardino-Balkarian Scientific Center of RAS. 2023. No. 5(115). Pp. 11\u201324. DOI: 10.35330\/1991-6639-2023-5-115-11-24<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-074c11bf0e3e8977d90f4b02c83be5f5 is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>Information about the authors<\/strong><\/summary>\n<p style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"><strong>Kantemir Ch. Bzhikhatlov<\/strong>, Candidate of Physical and Mathematical Sciences, Head Laboratory \u201cNeurocognitive Autonomous Intelligent Systems\u201d, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>360010, Russia, Nalchik, 2 Balkarov street;<br>haosit13@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-0924-0193, SPIN-code: 9551-5494<br><strong>Alexey D. Kravchenko<\/strong>, Post-graduate Student of the Scientific and Educational Center, KabardinoBalkarian Scientific Center of the Russian Academy of Sciences;<br>360010, Russia, Nalchik, 2 Balkarov street;<br>kravchenko.12@mail.ru, ORCID: https:\/\/orcid.org\/0009-0005-1786-7182<\/p>\n\n\n\n<p><\/p>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>The concept of an automated control system for the production process of robotic complexes K.Ch. Bzhikhatlov, A.D. Kravchenko Upload the full text Abstract. This article presents the concept of an automated control system for the production process of robotic complexes. The diagram of the control system for the production process of robotic complexes and the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2089","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>26.5.1 en - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/26-5-1-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"26.5.1 en - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"The concept of an automated control system for the production process of robotic complexes K.Ch. 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