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020 ▼a 9780438126114
035 ▼a (MiAaPQ)AAI10903005
035 ▼a (MiAaPQ)umichrackham:001179
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 621.3
1001 ▼a Miehling, Erik.
24510 ▼a Reasoning Under Uncertainty in Cyber-Physical Systems: Toward Efficient and Secure Operation.
260 ▼a [S.l.] : ▼b University of Michigan., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 184 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Demosthenis Teneketzis.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2018.
520 ▼a The increased sensing, processing, communication, and control capabilities introduced by cyber-physical systems bring many potential improvements to the operation of society's systems, but also introduce questions as to how one can ensure their
520 ▼a First, in the context of power systems and electricity markets, how can one design algorithms that guide self-interested agents to a socially optimal and physically feasible outcome, subject to the fact that agents only possess localized informa
520 ▼a Second, when a system is under attack from a malicious agent, what models are appropriate for performing real-time and scalable threat assessment and response selection when we only have partial information about the attacker's intent and capabi
520 ▼a Finally, in partially observable sequential decision-making environments, specifically partially observable Markov decision processes (POMDPs), under what conditions do optimal policies possess desirable structure? Motivated by the dynamic secur
590 ▼a School code: 0127.
650 4 ▼a Electrical engineering.
690 ▼a 0544
71020 ▼a University of Michigan. ▼b Electrical Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000513 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자