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020 ▼a 9780438281073
035 ▼a (MiAaPQ)AAI10844314
035 ▼a (MiAaPQ)cmu:10272
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 660
1001 ▼a Zhao, Zixi.
24510 ▼a Adaptive Control of Chemical Reactions in the Absence of Reaction Kinetics Information.
260 ▼a [S.l.]: ▼b Carnegie Mellon University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 161 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Erik Ydstie.
5021 ▼a Thesis (Ph.D.)--Carnegie Mellon University, 2018.
520 ▼a In this thesis, we develop a passivity-based adaptive control framework for controlling nonlinear processes with uncertainty. The development of the method is motivated by the question whether we can control reaction systems without the knowledg
520 ▼a The proposed adaptive control framework incorporates the measurements' derivative information in order to estimate the uncertainty involved in output dynamics. The output dynamics is assumed to take a special control-affine structure, and by usi
520 ▼a The proposed framework allows us to control reaction systems without knowing the reaction kinetics, and estimate unmeasured compositions by utilizing the available partially linear structure of internal dynamics. A reactor temperature control pr
590 ▼a School code: 0041.
650 4 ▼a Chemical engineering.
690 ▼a 0542
71020 ▼a Carnegie Mellon University. ▼b Chemical Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0041
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999981 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033