Skip navigation

putin IS MURDERER

Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/46143
Full metadata record
DC FieldValueLanguage
dc.contributor.authorМашков, О.
dc.contributor.authorЧумакевич, В.
dc.contributor.authorСокульський, О.
dc.contributor.authorЧірун, Л.
dc.contributor.authorMashkov, O.
dc.contributor.authorChumakevych, V.
dc.contributor.authorSokulsky, O.
dc.contributor.authorChyrun, L.
dc.date.accessioned2020-02-27T09:45:15Z-
dc.date.available2020-02-27T09:45:15Z-
dc.date.created2019-02-26
dc.date.issued2019-02-26
dc.identifier.citationFeatures 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.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/46143-
dc.description.abstractРозглянуто особливості застосування методу зворотних задач динаміки для відновлювального керування. Отримано вираз для керуючої сили та проведено моделювання для етапу визначення керуючих сил.
dc.description.abstractThe 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.
dc.format.extent85-91
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofMathematical Modeling and Computing, 1 (6), 2019
dc.subjectфункціональна стійкість
dc.subjectвідновлююче керування
dc.subjectметод зворотних задач динаміки
dc.subjectкеруючі сили
dc.subjectfunctional stability
dc.subjectrestoration
dc.subjectthe method of inverse problems of dynamics
dc.subjectcontrolling forces
dc.titleFeatures of determining controlling effects in functionally-stable systems with recovery of control
dc.title.alternativeОсобливості визначення керуючих впливів у функціонально стійких системах з керуванням, яке відновлюється
dc.typeArticle
dc.rights.holderCMM IAPMM NAS
dc.rights.holder© 2019 Lviv Polytechnic National University
dc.contributor.affiliationДержавна екологічна академія післядипломної освіти та управління
dc.contributor.affiliationНаціональний університет “Львівська політехніка”
dc.contributor.affiliationКиївський національний університет ім. Тараса Шевченка
dc.contributor.affiliationState Ecological Academy of Postgraduate Education and Management
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.affiliationTaras Shevchenko National University of Kyiv
dc.format.pages7
dc.identifier.citationenFeatures 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.
dc.relation.references1. 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).
dc.relation.references2. 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).
dc.relation.references3. 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).
dc.relation.references4. 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).
dc.relation.references5. 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).
dc.relation.references6. MashkovV. New approach to system level self-diagnosis. 2011 IEEE 11th International Conference on Computer and Information Technology, Pafos. 579–584. (2011).
dc.relation.references7. MashkovV., MarikV. Diagnosing faulty situations during alliance formation process. Proceedings of IASTED AIA’2003 Conference, Innsbruck. 72–78 (2003).
dc.relation.references8. 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).
dc.relation.references9. 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).
dc.relation.references10. ChumakevychV. Singularity of the functional-stable electromechanical complex of agricultural purpose. Bulletin of Lviv National Agrarian University. 20, 115–128 (2016), (in Ukrainian).
dc.relation.references11. PietruszkaW.D. MATLAB und Simulink in der Ingenieurpraxis. Modelbildung, Berechnung und Simulation. B. G. Teubner Verlag (2006), (in German).
dc.relation.referencesen1. 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).
dc.relation.referencesen2. 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).
dc.relation.referencesen3. 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).
dc.relation.referencesen4. 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).
dc.relation.referencesen5. 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).
dc.relation.referencesen6. MashkovV. New approach to system level self-diagnosis. 2011 IEEE 11th International Conference on Computer and Information Technology, Pafos. 579–584. (2011).
dc.relation.referencesen7. MashkovV., MarikV. Diagnosing faulty situations during alliance formation process. Proceedings of IASTED AIA’2003 Conference, Innsbruck. 72–78 (2003).
dc.relation.referencesen8. 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).
dc.relation.referencesen9. 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).
dc.relation.referencesen10. ChumakevychV. Singularity of the functional-stable electromechanical complex of agricultural purpose. Bulletin of Lviv National Agrarian University. 20, 115–128 (2016), (in Ukrainian).
dc.relation.referencesen11. PietruszkaW.D. MATLAB und Simulink in der Ingenieurpraxis. Modelbildung, Berechnung und Simulation. B. G. Teubner Verlag (2006), (in German).
dc.citation.issue1
dc.citation.spage85
dc.citation.epage91
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.subject.udc517.977.1
Appears in Collections:Mathematical Modeling And Computing. – 2019. – Vol. 6, No. 1

Files in This Item:
File Description SizeFormat 
2019v6n1_Mashkov_O-Features_of_determining_controlling_85-91.pdf762.34 kBAdobe PDFView/Open
2019v6n1_Mashkov_O-Features_of_determining_controlling_85-91__COVER.png404.94 kBimage/pngView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.