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020 ▼a 9780438078598
035 ▼a (MiAaPQ)AAI10809687
035 ▼a (MiAaPQ)ucsd:17355
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 620
1001 ▼a Pandey, Amit.
24510 ▼a New Techniques in Linear Parameter-Varying Systems.
260 ▼a [S.l.] : ▼b University of California, San Diego., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 144 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Advisers: Mauricio de Oliveira
5021 ▼a Thesis (Ph.D.)--University of California, San Diego, 2018.
520 ▼a 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
520 ▼a 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.
520 ▼a 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
520 ▼a 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
520 ▼a 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
590 ▼a School code: 0033.
650 4 ▼a Engineering.
690 ▼a 0537
71020 ▼a University of California, San Diego. ▼b Engineering Sciences (Mechanical Engineering).
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0033
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997901 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자