LDR | | 00000nmm u2200205 4500 |
001 | | 000000330389 |
005 | | 20241029151650 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438281073 |
035 | |
▼a (MiAaPQ)AAI10844314 |
035 | |
▼a (MiAaPQ)cmu:10272 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 660 |
100 | 1 |
▼a Zhao, Zixi. |
245 | 10 |
▼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. |
502 | 1 |
▼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 |
710 | 20 |
▼a Carnegie Mellon University.
▼b Chemical Engineering. |
773 | 0 |
▼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 |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999981
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |