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Ãëàâà ñîäåðæèò ÷åòûðå ÷àñòè.  ïåðâîé÷àñòè ïðèâîäèòñÿ èëëþñòðàöèÿ òèïè÷íîãî ïîâåäåíèÿ ñèñòåìû, âûïîëíÿþùåé çàäàíèÿ íåñêîëüêèõ êëàññîâ, ôóíêöèîíèðóþùåé ïî ïðåäëîæåííîé ðàíäîìèçèðîâàííîéìîäèôèêàöèè ïðîòîêîëà ëîêàëüíîãî ãîëîñîâàíèÿ â óñëîâèÿõ ïîìåõ, çàäåðæåê, èçìåíÿþùåéñÿ ñòðóêòóðû ñâÿçåé ñåòè. Âòîðàÿ ÷àñòü ñîäåðæèò ðåçóëüòàòû ìîäåëèðîâàíèÿ ïîâåäåíèÿ ñèñòåìû, âûïîëíÿþùåé çàäàíèÿ íåñêîëüêèõ êëàññîâ, ïðè íàëè÷èèðàçíûõ ñòîèìîñòíûõ îãðàíè÷åíèé íà èñïîëüçîâàíèå ñâÿçåé äëÿ îáìåíà çàäàíèÿìèêàæäîãî êëàññà, ïðè áàëàíñèðîâêå ïî óïðàâëÿþùåìó ïðîòîêîëó, ñôîðìèðîâàííîìóñ ó÷åòîì çàäàííûõ ñòîèìîñòíûõ îãðàíè÷åíèé.
 òðåòüåé ÷àñòè ïðîèëëþñòðèðîâàíà çàâèñèìîñòü ñòåïåíè äîñòèæèìîñòè êîíñåíñóñà â ñèñòåìå îò ðàçìåðà âåëè÷èíûøàãà ïðåäëîæåííîãî ïðîòîêîëà. ×åòâåðòàÿ ÷àñòü ñîäåðæèò ðåçóëüòàòû èìèòàöèîííûõ ýêñïåðèìåíòîâ ñ èñïîëüçîâàíèåì ïîèñêîâîãî àëãîðèòìà ñòîõàñòè÷åñêîé àïïðîêñèìàöèè ñ ðàíäîìèçàöèåé íà âõîäå äëÿ ïîäñòðîéêè âåëè÷èíû ðàçìåðà øàãàóïðàâëÿþùåãî ïðîòîêîëà âî âðåìÿ ðàáîòû âû÷èñëèòåëüíîé ñèñòåìû.14Âçàêëþ÷åíèè ôîðìóëèðóþòñÿ îñíîâíûå ðåçóëüòàòû äèññåðòàöèè.Ïóáëèêàöèè àâòîðà ïî òåìå äèññåðòàöèè[1]Àìåëèíà Í.
Î., Èâàíñêèé Þ. Â. Çàäà÷à äîñòèæåíèÿ äèôôåðåí-öèðîâàííîãî êîíñåíñóñà ïðè ñòîèìîñòíûõ îãðàíè÷åíèÿõ// ÂåñòíèêÑàíêò-Ïåòåðáóðãñêîãî óíèâåðñèòåòà. Ñåðèÿ 1. Ìàòåìàòèêà. Ìåõàíèêà. Àñòðîíîìèÿ. 2015. Ò. 2. 4. Ñ. 495506.[2]Åðîôååâà Â. À., Èâàíñêèé Þ. Â., Êèÿåâ Â. È. Óïðàâëåíèå ðîåìäèíàìè÷åñêèõ îáúåêòîâ íà áàçå ìóëüòèàãåíòíîãî ïîäõîäà // Êîìïüþòåðíûå èíñòðóìåíòû â îáðàçîâàíèè, âûï. 6, 2015, Ñ. 3442.[3]Amelina N., Granichin O., Granichina O., Ivanskiy Y., Jiang Y.
Dif-ferentiated consensuses in a stochastic network with priorities // Proc.of 2014 IEEE Multi-conference on Systems and Control, October 810, 2014,Antibes/Nice, France, P. 264269.[4]Amelina N., Granichin O., Granichina O., Ivanskiy Y., Jiang Y. Opti-mal Step-Size of a Local Voting Protocol for Dierentiated ConsensusesAchievement in a Stochastic Network with Priorities // Proc. of the 14thEuropean Control Conference (ECC'15), Linz, Austria, July 1517, 2015, P.
628633.[5]Amelina N., Granichin O., Granichina O., Ivanskiy Y., Jiang Y. LocalVoting Protocol for Dierentiated Consensuses in a Stochastic Networkwith Priorities // Proc. of the IFAC Conference on Modelling, Identication andControl of Nonlinear Systems (MICNON'15), Saint-Petersburg, Russia, June 2426, 2015, P. 964969.[6]Ivanskiy Y., Amelina N., Granichin O., Granichina O., Jiang Y. Opti-mal Step-Size of a Local Voting Protocol for Dierentiated ConsensusesAchievement in a Stochastic Network with Cost Constraints for DierentPriorities // Proc.
of the 2015 IEEE Multi-Conference on Systems and Control(MSC'15), September 2123, 2015, Sydney, Australia, P. 13671372.[7]Amelin K., Amelina N., Ivanskiy Y., Jiang Y. Choice of Step-Size forConsensus Protocol in Changing Conditions via Stochastic Approximation Type Algorithm // 3rd IEEE International Conference on Control, Decisionand Information Technologies (CoDIT'16), April 68, 2016, Saint Julian's, Malta.[8]Àìåëèí Ê.
Ñ., Áàêëàíîâñêèé Ì. Â., Ãðàíè÷èí Î. Í., Èâàíñêèé Þ. Â., Êîðíèâåö À. Ä., Ìàëüêîâñêèé Í. Â., Íàéäàíîâ Ä. Ã., Øåèí Ð. Å. Àäàïòèâíàÿ15ìóëüòèàãåíòíàÿ îïåðàöèîííàÿ ñèñòåìà ðåàëüíîãî âðåìåíè // Ñòîõàñòè÷åñêàÿîïòèìèçàöèÿ â èíôîðìàòèêå.
2013. Ò. 9. 1. Ñ. 316.[9]Èâàíñêèé Þ. Â. Âîññòàíîâëåíèå 3D-îáðàçîâ èç ñêîìïðåññèðîâàííûõ äàííûõÓÇÈ // Ñòîõàñòè÷åñêàÿ îïòèìèçàöèÿ â èíôîðìàòèêå. 2013. Ò. 9. 1. Ñ. 4558.[10]Àìåëèíà Í. Î., Êîðíèâåö À. Ä., Èâàíñêèé Þ. Â., Òþøåâ Ê. È. Ïðèìåíåíèåêîíñåíñóñíîãî ïðîòîêîëà äëÿ áàëàíñèðîâêè çàãðóçêè ñòîõàñòè÷åñêîé äåöåíòðàëèçîâàííîé ñåòè ïðè ïåðåäà÷å äàííûõ //  ñá.: XII âñåðîññèéñêîå ñîâåùàíèå ïî ïðîáëåìàì óïðàâëåíèÿ ÂÑÏÓ-2014 Èíñòèòóò ïðîáëåì óïðàâëåíèÿ èì.Â.À.
Òðàïåçíèêîâà ÐÀÍ. 2014. Ñ. 89028911.[11]Ivanskiy Yu. Consensus achievement for dierent task classes in multi-agent network //  êíèãå: Óïðàâëåíèå, èíôîðìàöèÿ è îïòèìèçàöèÿ (VI ÒÌØ) Òåçèñûäîêëàäîâ Øåñòîé Òðàäèöèîííîé âñåðîññèéñêîé ìîëîäåæíîé ëåòíåé Øêîëû.Ôåäåðàëüíîå ãîñóäàðñòâåííîå áþäæåòíîå ó÷ðåæäåíèå íàóêè, Èíñòèòóò ïðîáëåì óïðàâëåíèÿ èì.
Â. À. Òðàïåçíèêîâà Ðîññèéñêîé àêàäåìèè íàóê, Íàöèîíàëüíûé êîìèòåò ïî àâòîìàòè÷åñêîìó óïðàâëåíèþ, Ëàáîðàòîðèÿ ñòðóêòóðíûõ ìåòîäîâ àíàëèçà äàííûõ â ïðåäñêàçàòåëüíîì ìîäåëèðîâàíèè ÌÔÒÈ; ïîäðåäàêöèåé Á. Ò. Ïîëÿêà. 2014. Ñ. 31.[12]Èâàíñêèé Þ. Â. Äèôôåðåíöèðîâàííûé êîíñåíñóñ â ñòîõàñòè÷åñêîé ñåòè ñïðèîðèòåòàìè // Ñòîõàñòè÷åñêàÿ îïòèìèçàöèÿ â èíôîðìàòèêå. 2014. Ò. 10.1. Ñ. 929.[13]Èâàíñêèé Þ. Â. Èñïîëüçîâàíèå àëãîðèòìà òèïà ñòîõàñòè÷åñêîé àïïðîêñèìàöèè äëÿ ïîèñêà îïòèìàëüíîãî øàãà ïðîòîêîëà ëîêàëüíîãî ãîëîñîâàíèÿ ïðèäîñòèæåíèè äèôôåðåíöèðîâàííîãî êîíñåíñóñà â ìóëüòèàãåíòíîé ñåòè ñî ñòîèìîñòíûìè îãðàíè÷åíèÿìè íà òîïîëîãèþ // Ñòîõàñòè÷åñêàÿ îïòèìèçàöèÿ âèíôîðìàòèêå. 2015. Ò.
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