MARC보기
LDR02561nam u200469 4500
001000000421128
00520190215165049
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438037052
035 ▼a (MiAaPQ)AAI10808018
035 ▼a (MiAaPQ)upenngdas:13228
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621.3
1001 ▼a Tzoumas, Vasileios.
24510 ▼a Resilient Submodular Maximization for Control and Sensing.
260 ▼a [S.l.]: ▼b University of Pennsylvania., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 272 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Advisers: George J. Pappas
5021 ▼a Thesis (Ph.D.)--University of Pennsylvania, 2018.
520 ▼a Fundamental applications in control, sensing, and robotics, motivate the design of systems by selecting system elements, such as actuators or sensors, subject to constraints that require the elements not only to be a few in number, but also, to
520 ▼a In the first part of this thesis we motivate the above design problems, and propose the first algorithms to address them. In particular, although traditional approaches to matroid-constrained maximization have met great success in machine learni
520 ▼a But in failure-prone and adversarial environments, sensors and actuators can fail
520 ▼a In the second part of this thesis we motivate the general problem of resilient maximization over matroid constraints, and propose the first algorithms to address it, to protect that way any design over matroid constraints, not only within the bo
520 ▼a In the third and final part of this thesis we apply our tools for resilient maximization in robotics, and in particular, to the problem of active information gathering with mobile robots. This problem calls for the motion-design of a team of mob
590 ▼a School code: 0175.
650 4 ▼a Electrical engineering.
650 4 ▼a Systems science.
650 4 ▼a Robotics.
690 ▼a 0544
690 ▼a 0790
690 ▼a 0771
71020 ▼a University of Pennsylvania. ▼b Electrical and Systems Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0175
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997791 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033