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Performance Guarantees in Learning and Robust Control
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Performance Guarantees in Learning and Robust Control. |
| 개인저자 | Boczar, Ross J. |
| 단체저자명 | University of California, Berkeley. Electrical Engineering & Computer Sciences. |
| 발행사항 | [S.l.]: University of California, Berkeley., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 124 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
| ISBN | 9781085794534 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Berkeley, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Recht, Benjamin. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | As the systems we control become more complex, first-principle modeling becomes either impossible or intractable, motivating the use of machine learning techniques for the control of systems with continuous action spaces. As impressive as the empirical success of these methods have been, strong theoretical guarantees of performance, safety, or robustness are few and far between. This manuscript takes a step towards such providing such guarantees by establishing finite-data performance guarantees for identifying and controlling fully- or partially-unknown dynamical systems.In this manuscript, we explore three different viewpoints that each provide different quantitative guarantees of performance. First, we present a generalization of the classical theory of integral quadratic constraints. This generalization leads to a tractable computational procedure for finding exponential stability certificates for partially-unknown feedback systems. Second, we present non-asymptotic lower and upper bounds for core problems in the field of system identification. Finally, using the recently developed system-level synthesis framework and tools from high-dimensional statistics, we establish finite-sample performance guarantees for robust output-feedback control of an unknown dynamical system. |
| 일반주제명 | Electrical engineering. Computer science. Statistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
