자료유형 | 학위논문 |
---|---|
서명/저자사항 | New Techniques in Linear Parameter-Varying Systems. |
개인저자 | Pandey, Amit. |
단체저자명 | University of California, San Diego. Engineering Sciences (Mechanical Engineering). |
발행사항 | [S.l.]: University of California, San Diego., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 144 p. |
기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
ISBN | 9780438078598 |
학위논문주기 | Thesis (Ph.D.)--University of California, San Diego, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Advisers: Mauricio de Oliveira |
요약 | Linear Parameter-Varying (LPV) techniques provide a convenient extension of linear systems theory to a rich class of systems - including uncertain, switched and non-linear systems. LPV systems theory also allows for the analysis of gain-schedule |
요약 | This dissertation makes several contributions to LPV systems theory - both in terms of the analysis of this class of systems and new approaches for controller and filter design. |
요약 | We start by revisiting the issue of quadratic gain-scheduled and robust state-feedback. The goal of this analysis is to explore to what extent solvability of certain LMIs for gain-scheduled control also implies solvability of the corresponding r |
요약 | Following this, we introduce new conditions for the H infinity synthesis of discrete-time gain-scheduled state feedback controllers and LPV state estimators in the form of LMIs. A distinctive feature of the proposed conditions is the ability to |
요약 | To conclude, we introduce a strategy for combining these state-feedback and state-estimation conditions for the Hinfinity synthesis of output feedback controllers. This strategy allows us to design output-feedback controllers where time-variati |
일반주제명 | Engineering. |
언어 | 영어 |
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