Optimal control of networked dynamic systems via input convex graph recurrent neural network볼록 그래프 순환 신경망을 이용한 동적 네트워크 시스템의 최적 제어

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 207
  • Download : 0
DC FieldValueLanguage
dc.contributor.advisorPark, Jinkyoo-
dc.contributor.advisor박진규-
dc.contributor.authorSong, Chihyeon-
dc.date.accessioned2022-04-21T19:31:13Z-
dc.date.available2022-04-21T19:31:13Z-
dc.date.issued2021-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=948506&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/295312-
dc.description학위논문(석사) - 한국과학기술원 : 산업및시스템공학과, 2021.2,[iii, 19 p. :]-
dc.description.abstractTo control the dynamic system with model-based approach, the model should represent the dynamic of the system and at the same time, the model should not be computational intractable on control optimization problem. In this paper, we offer a balanced model between called input convex graph recurrent neural network to harmonize model expressivity and optimization solvability. Input convex graph recurrent neural network is a graph recurrent neural network which output of the function is a convex function with respect to input of the function. The graph recurrent neural network structure in the proposed model can represent the interaction between components of system and the dynamic of system efficiently. In addition, input convexity of the proposed model guarantee to find an optimal solution when the agents find the action sequence using the dynamic model. We apply the proposed dynamic model to control the furnace system in the real world with model predictive control. The experimental shows that the proposed model shows notable performance than baseline models.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectinput convex neural network▼agraph neural network▼acontrol dynamic system-
dc.subject볼록 신경망▼a그래프 신경망▼a최적 제어▼a동적 시스템 제어-
dc.titleOptimal control of networked dynamic systems via input convex graph recurrent neural network-
dc.title.alternative볼록 그래프 순환 신경망을 이용한 동적 네트워크 시스템의 최적 제어-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :산업및시스템공학과,-
dc.contributor.alternativeauthor송치현-
Appears in Collection
IE-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0