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Braatz, Richard D. VanAntwerp, Jeremy Glen 2015-09-25T20:44:14Z 2015-09-25T20:44:14Z 10000-01-01 1999 1999 Sheet and film processes such as polymer film extruders, paper machines, and coating processes are large scale and high speed. Addressing model uncertainty for these processes is critically important because model uncertainty can cause the closed loop system to perform poorly. Here an approach is developed which exploits the structure of generic sheet and film process models to design globally optimal robust controllers for these large scale systems. Theorems are given which reduce a large scale robust control problem for a generic sheet or film process to an equivalent set of independent or coupled low order robust control problems. The reduced order problems are formulated as an optimization with bilinear matrix inequality (BMI) constraints and solved to global optimality via a branch and bound algorithm. The algorithm is applied to a model of a paper machine constructed from published industrial data. The resulting robust control problem is the largest solved to date. Made available in DSpace on 2015-09-25T20:44:14Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9945017.pdf: 7304127 bytes, checksum: 88d4c0ef92dac85df94aacdbfa16b66a (MD5) Previous issue date: 1999 Embargo set by: Seth Robbins for item 83751 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 183 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999. http://hdl.handle.net/2142/82470 (MiAaPQ)AAI9945017 eng Engineering, Chemical Globally Optimal Robust Control for Large-Scale Sheet and Film Processes text Chemical Engineering Chemical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.