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Alleyne, Andrew G. Hencey, Brandon Michael 2015-09-25T21:12:40Z 2015-09-25T21:12:40Z 10000-01-01 2008 2008 This research focuses on designing the dynamic transition between controllers, termed controller interpolation to meet stability and performance objectives. First, an intuitive definition of the controller interpolation problem is presented. The resulting set of controller interpolation criteria is translated into a parameterization of all stabilizing interpolated controllers leveraging a Youla controller parameterization. Second, an interpolation framework is proposed for cases that lack an appropriate controller parameterization. The proposed framework mediates the interaction among controllers and the interpolated controller parameterization as a special case. For a class of linear parameter-varying plants, a convex optimization problem was formulated using the framework, and the framework is applied to optimize the gain-scheduled controller interpolation with respect to an Hinfinity norm. Made available in DSpace on 2015-09-25T21:12:40Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3314790.pdf: 2172482 bytes, checksum: 2cdabe601ca0fedb08c1fdfbebf5f955 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 85187 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 168 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/83906 (MiAaPQ)AAI3314790 eng Engineering, Mechanical Robust Controller Interpolation With Application to Gain-Scheduling text Mechanical Engineering Mechanical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.