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020 ▼a 9781687966896
035 ▼a (MiAaPQ)AAI22620724
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621
1001 ▼a Candelino, Nicholas William.
24510 ▼a A Systematic, Well-formulated Control System Design and Modeling Paradigm Based on Perceived System Traits.
260 ▼a [S.l.]: ▼b Northeastern University., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 147 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
500 ▼a Advisor: Jalili, Nader.
5021 ▼a Thesis (Ph.D.)--Northeastern University, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a The approach taken during the development of control systems is frequently driven by a desire to balance challenges in system modeling with roadblocks and difficulties in controller design. Such a balance is often established in an iterative manner according to the perceived performance of the system - compared to objectives and specifications - as designs progress from computational models to physical implementations. To accelerate this process, it would be beneficial to establish methods of identifying suitable directions for both the modeling and control tasks from an early stage - limiting the iterations required. In this work, we utilize our ongoing research to study this problem from three directions: (1) the development of a physically motivated model for partially understood systems with significant unmodeled dynamics and disturbances
590 ▼a School code: 0160.
650 4 ▼a Mechanical engineering.
690 ▼a 0548
71020 ▼a Northeastern University. ▼b Mechanical and Industrial Engineering.
7730 ▼t Dissertations Abstracts International ▼g 81-04B.
773 ▼t Dissertation Abstract International
790 ▼a 0160
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493755 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK