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Multidisciplinary Optimization for the Design and Control of Uncertain Dynamical Systems


Abstract This dissertation considers an integrated approach to system design and controller design based on analyzing limits of system performance. Historically, plant design methodologies have not incorporated control relevant considerations. Such an approach could result in a system that might not meet its specifications (or one that requires a complex control architecture to do so). System and controller designers often go through several iterations in order to converge to an acceptable plant and controller design. The focus of this dissertation is on the design and control an air-breathing hypersonic vehicle using such an integrated system-control design framework. The goal is to reduce the number of system-control design iterations (by explicit... (more)
Created Date 2014
Contributor Sridharan, Srikanth (Author) / Rodriguez, Armando A (Advisor) / Mittelmann, Hans D (Committee member) / Si, Jennie (Committee member) / Tsakalis, Konstantinos S (Committee member) / Arizona State University (Publisher)
Subject System science / Aerospace engineering / Controls / Hypersonics / Multidisciplinary Optimization
Type Doctoral Dissertation
Extent 187 pages
Language English
Copyright
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Note Ph.D. Electrical Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis