https://oldena.lpnu.ua/handle/ntb/46143| Title: | Features of determining controlling effects in functionally-stable systems with recovery of control |
| Other Titles: | Особливості визначення керуючих впливів у функціонально стійких системах з керуванням, яке відновлюється |
| Authors: | Машков, О. Чумакевич, В. Сокульський, О. Чірун, Л. Mashkov, O. Chumakevych, V. Sokulsky, O. Chyrun, L. |
| Affiliation: | Державна екологічна академія післядипломної освіти та управління Національний університет “Львівська політехніка” Київський національний університет ім. Тараса Шевченка State Ecological Academy of Postgraduate Education and Management Lviv Polytechnic National University Taras Shevchenko National University of Kyiv |
| Bibliographic description (Ukraine): | Features of determining controlling effects in functionally-stable systems with recovery of control / O. Mashkov, V. Chumakevych, O. Sokulsky, L. Chyrun // Mathematical Modeling and Computing. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 6. — No 1. — P. 85–91. |
| Bibliographic description (International): | Features of determining controlling effects in functionally-stable systems with recovery of control / O. Mashkov, V. Chumakevych, O. Sokulsky, L. Chyrun // Mathematical Modeling and Computing. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 6. — No 1. — P. 85–91. |
| Is part of: | Mathematical Modeling and Computing, 1 (6), 2019 |
| Issue: | 1 |
| Issue Date: | 26-Feb-2019 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів Lviv |
| UDC: | 517.977.1 |
| Keywords: | функціональна стійкість відновлююче керування метод зворотних задач динаміки керуючі сили functional stability restoration the method of inverse problems of dynamics controlling forces |
| Number of pages: | 7 |
| Page range: | 85-91 |
| Start page: | 85 |
| End page: | 91 |
| Abstract: | Розглянуто особливості застосування методу зворотних задач динаміки для
відновлювального керування. Отримано вираз для керуючої сили та проведено моделювання для етапу визначення керуючих сил. The features of application of the method of inverse problems of dynamics for the recovery control are considered. An expression for the controlling force is obtained as well as simulation for the stage of determining the controlling forces are carried out. |
| URI: | https://ena.lpnu.ua/handle/ntb/46143 |
| Copyright owner: | CMM IAPMM NAS © 2019 Lviv Polytechnic National University |
| References (Ukraine): | 1. Improving the efficiency of on-board information management complexes on the basis of detecting and parrying failures in the management process. Report on R & D No. 09026, KVVIAU (1990), (in Russian). 2. AzarskovV.N., KosenkoV.R., Kharchevka E.A. Peculiarities of Construction of Functionally-Stable Control Systems of Moving Plants. Electronics and control systems. 24 (2), 52–59 (2010), (in Russian). 3. MashkovO.A., KosenkoV.R. Mathematical models and methods of ensuring the functional stability of hierarchical organizational management systems. Aviation and extreme psychology in the context of technological advances. Agrar Media Group. 162–170 (2017), (in Ukrainian). 4. MashkovO., KosenkoV. Ensuring of functional stability of difficult dynamic systems as one of urgent scientific tasks of modern theory of automatic control. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ´ Srodowiska. 3, 39–42 (2015). 5. KorobchinskyiM. Design of dynamic structural models of information management system of moving objects. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ´ Srodowiska. 4, 78–80 (2013). 6. MashkovV. New approach to system level self-diagnosis. 2011 IEEE 11th International Conference on Computer and Information Technology, Pafos. 579–584. (2011). 7. MashkovV., MarikV. Diagnosing faulty situations during alliance formation process. Proceedings of IASTED AIA’2003 Conference, Innsbruck. 72–78 (2003). 8. KorobchinskyiM., Babichev S., LytvynenkoV., GozhyjA., VoronenkoM. A Fuzzy Model for Gene Expression Profiles Reducing Based on the Complex Use of Statistical Criteria and Shannon Entropy. In: Hu Z., Petoukhov S., Dychka I., HeM. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol. 754, 545–555 (2019). 9. ShabaturaU.V., ParanchukYa. S., ChumakevichV.O. Problems of creation of the functional-stable electromechanical complex. Bulletin of Lviv Polytechnic National University, Power and Electromechanical Systems. 707, 114–119 (2011), (in Ukrainian). 10. ChumakevychV. Singularity of the functional-stable electromechanical complex of agricultural purpose. Bulletin of Lviv National Agrarian University. 20, 115–128 (2016), (in Ukrainian). 11. PietruszkaW.D. MATLAB und Simulink in der Ingenieurpraxis. Modelbildung, Berechnung und Simulation. B. G. Teubner Verlag (2006), (in German). |
| References (International): | 1. Improving the efficiency of on-board information management complexes on the basis of detecting and parrying failures in the management process. Report on R & D No. 09026, KVVIAU (1990), (in Russian). 2. AzarskovV.N., KosenkoV.R., Kharchevka E.A. Peculiarities of Construction of Functionally-Stable Control Systems of Moving Plants. Electronics and control systems. 24 (2), 52–59 (2010), (in Russian). 3. MashkovO.A., KosenkoV.R. Mathematical models and methods of ensuring the functional stability of hierarchical organizational management systems. Aviation and extreme psychology in the context of technological advances. Agrar Media Group. 162–170 (2017), (in Ukrainian). 4. MashkovO., KosenkoV. Ensuring of functional stability of difficult dynamic systems as one of urgent scientific tasks of modern theory of automatic control. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ´ Srodowiska. 3, 39–42 (2015). 5. KorobchinskyiM. Design of dynamic structural models of information management system of moving objects. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ´ Srodowiska. 4, 78–80 (2013). 6. MashkovV. New approach to system level self-diagnosis. 2011 IEEE 11th International Conference on Computer and Information Technology, Pafos. 579–584. (2011). 7. MashkovV., MarikV. Diagnosing faulty situations during alliance formation process. Proceedings of IASTED AIA’2003 Conference, Innsbruck. 72–78 (2003). 8. KorobchinskyiM., Babichev S., LytvynenkoV., GozhyjA., VoronenkoM. A Fuzzy Model for Gene Expression Profiles Reducing Based on the Complex Use of Statistical Criteria and Shannon Entropy. In: Hu Z., Petoukhov S., Dychka I., HeM. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol. 754, 545–555 (2019). 9. ShabaturaU.V., ParanchukYa. S., ChumakevichV.O. Problems of creation of the functional-stable electromechanical complex. Bulletin of Lviv Polytechnic National University, Power and Electromechanical Systems. 707, 114–119 (2011), (in Ukrainian). 10. ChumakevychV. Singularity of the functional-stable electromechanical complex of agricultural purpose. Bulletin of Lviv National Agrarian University. 20, 115–128 (2016), (in Ukrainian). 11. PietruszkaW.D. MATLAB und Simulink in der Ingenieurpraxis. Modelbildung, Berechnung und Simulation. B. G. Teubner Verlag (2006), (in German). |
| Content type: | Article |
| Appears in Collections: | Mathematical Modeling And Computing. – 2019. – Vol. 6, No. 1 |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2019v6n1_Mashkov_O-Features_of_determining_controlling_85-91.pdf | 762.34 kB | Adobe PDF | View/Open | |
| 2019v6n1_Mashkov_O-Features_of_determining_controlling_85-91__COVER.png | 404.94 kB | image/png | View/Open |
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