Robust Control of Multivariable Systems Subject to          Structured Real Parameter Variations
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Radhakisan Baheti', 'PO_EMAI': None, 'PO_PHON': None}
This research deals with the problem of analysis, synthesis and              design of control systems when the plant is subject to perturbations of         a set of real physical parameters.  This type of model occurs in                robotics, chemical processes, aircraft control, large space structures          and many other engineering systems.  Such plants are called structured          real parameter (SRP) plants.  For linear time-invariant multivariable           SRP systems the following problems will be considered: (1)                      determination of a robustness measure for a given controller.  One              candidate for such a measure is the size (radius) of the stability              hypersphere in parameter space.  The theory and computational algorithm         for determining this radius will be investigated.  (2) The development          of a procedure for the sythesis of a controller that robustifies, i.e.          maintains closed loop stability of the system against a given set of            ranges of plant parameter excursions.  This requires a generalization           and the development of a sythesis version of the type of results                developed by Kharitonov.  (3) The development of design procedures for          maximal robustness by choosing the free controller parameters to                maximize the robustness measure.  (4) The formulation and solution of           the problem of trading off robustness against deviations from the               desired response measured suitably and optimized over the controller            parameters.
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{'Name': 'Texas A&M Research Foundation', 'CityName': 'COLLEGE STATION', 'ZipCode': '778454375', 'PhoneNumber': '9798626777', 'StreetAddress': '400 HARVEY MITCHELL PKWY S STE 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'EQH8NQ4AXFT7', 'ORG_LGL_BUS_NAME': 'TEXAS A & M RESEARCH FOUNDATION', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '145400', 'Text': 'SYSTEMS THEORY'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8613315.xml'}