Print Email Facebook Twitter Optimal model distribution in multi model adaptive control with switching Title Optimal model distribution in multi model adaptive control with switching Author Ghosh, D. Contributor Baldi, S. (mentor) Faculty Mechanical, Maritime and Materials Engineering Department Delft Center for Systems and Control Programme Mechanical Engineering - Control Engineering Date 2015-06-26 Abstract Multi model adaptive control is an emerging field that has proven to be successful in mitigating limitations of classical adaptive control by providing more quicker and faster adaptation. In this method instead of one single parameter varying controller, multiple fixed parameter controllers pertaining to different operation regimes are utilized. A variant of this technique known as the multi model unfalsfied adaptive control is a recently proposed method. This methodology although promising needs further systematic analysis regarding the determination of the minimum number of controllers required and their corresponding locations (in the uncertain parameter space) to address stability and performance issues. This research work presents the basics of Adaptive Control with Multiple Models, introduces the problem of optimal problem distribution of the multiple models, and finally demonstrates a novel optimization based methodology to determine the number of controllers and their optimal locations for a given uncertainty. Subject adaptive controlmulti modelswitchingOptimization To reference this document use: http://resolver.tudelft.nl/uuid:3f3e955b-36bc-4a09-a9cc-b7065a59d39b Part of collection Student theses Document type master thesis Rights (c) 2015 Ghosh, D. Files PDF Debarghya_Ghosh_mscThesis ... 323548.pdf 2.33 MB Close viewer /islandora/object/uuid:3f3e955b-36bc-4a09-a9cc-b7065a59d39b/datastream/OBJ/view