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Resilient Submodular Maximization for Control and Sensing

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개인저자Tzoumas, Vasileios.
단체저자명University of Pennsylvania. Electrical and Systems Engineering.
서명/저자사항Resilient Submodular Maximization for Control and Sensing.
발행사항[S.l.] : University of Pennsylvania., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항272 p.
소장본 주기School code: 0175.
ISBN9780438037052
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisers: George J. Pappas
요약Fundamental 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
요약In 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
요약But in failure-prone and adversarial environments, sensors and actuators can fail
요약In 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
요약In 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
일반주제명Electrical engineering.
Systems science.
Robotics.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997791

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