Cybernetic approaches to adaptive control of supercritical systems
This paper introduces an adaptive control framework for stabilizing supercritical systems near critical stability thresholds, where conventional methods fail due to nonlinear dynamics and interdependencies. The proposed method integrates real-time feedback, predictive modeling, and reliability anal...
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| Format: | Article |
| Language: | English |
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Igor Sikorsky Kyiv Polytechnic Institute
2025-02-01
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| Series: | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
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| Online Access: | https://asac.kpi.ua/article/view/323685 |
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| _version_ | 1849703476780597248 |
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| author | Д. Гуменний |
| author_facet | Д. Гуменний |
| author_sort | Д. Гуменний |
| collection | DOAJ |
| description |
This paper introduces an adaptive control framework for stabilizing supercritical systems near critical stability thresholds, where conventional methods fail due to nonlinear dynamics and interdependencies. The proposed method integrates real-time feedback, predictive modeling, and reliability analysis using Bayesian updates and Weibull distribution, enhancing resilience under unpredictable conditions. A dual-layered model combines deterministic feedback for structural control and stochastic reliability assessments for managing uncertainty. This approach is crucial for fields like robotics and industrial automation, ensuring stability, scalability, and fault tolerance in high-risk environments.
Ref. 12
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| format | Article |
| id | doaj-art-e4efbd533f1f4508a71d54449f7d0ae5 |
| institution | DOAJ |
| issn | 1560-8956 2522-9575 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Igor Sikorsky Kyiv Polytechnic Institute |
| record_format | Article |
| series | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
| spelling | doaj-art-e4efbd533f1f4508a71d54449f7d0ae52025-08-20T03:17:15ZengIgor Sikorsky Kyiv Polytechnic InstituteAdaptivni Sistemi Avtomatičnogo Upravlinnâ1560-89562522-95752025-02-0114610.20535/1560-8956.46.2025.323685362460Cybernetic approaches to adaptive control of supercritical systemsД. Гуменний0Igor Sikorsky Kyiv Polytechnic Institute This paper introduces an adaptive control framework for stabilizing supercritical systems near critical stability thresholds, where conventional methods fail due to nonlinear dynamics and interdependencies. The proposed method integrates real-time feedback, predictive modeling, and reliability analysis using Bayesian updates and Weibull distribution, enhancing resilience under unpredictable conditions. A dual-layered model combines deterministic feedback for structural control and stochastic reliability assessments for managing uncertainty. This approach is crucial for fields like robotics and industrial automation, ensuring stability, scalability, and fault tolerance in high-risk environments. Ref. 12 https://asac.kpi.ua/article/view/323685supercritical systemsWeibull distributionLyapunov stabilitycybernetic feedback |
| spellingShingle | Д. Гуменний Cybernetic approaches to adaptive control of supercritical systems Adaptivni Sistemi Avtomatičnogo Upravlinnâ supercritical systems Weibull distribution Lyapunov stability cybernetic feedback |
| title | Cybernetic approaches to adaptive control of supercritical systems |
| title_full | Cybernetic approaches to adaptive control of supercritical systems |
| title_fullStr | Cybernetic approaches to adaptive control of supercritical systems |
| title_full_unstemmed | Cybernetic approaches to adaptive control of supercritical systems |
| title_short | Cybernetic approaches to adaptive control of supercritical systems |
| title_sort | cybernetic approaches to adaptive control of supercritical systems |
| topic | supercritical systems Weibull distribution Lyapunov stability cybernetic feedback |
| url | https://asac.kpi.ua/article/view/323685 |
| work_keys_str_mv | AT dgumennij cyberneticapproachestoadaptivecontrolofsupercriticalsystems |