Parameterization for Robustness in Linear Systems
{'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}
A classical problem in multi input multi output system design is        to classify plants or families of plants that admit a robust, switching         or nonswitching, dynamic output feedback compensator and satisfy a              specific set of design constraints viz. sensitivity minimization,               stabilization, pole assignment, disturbance decoupling, tracking, etc.          Not all plants and compensators satisfy a specific set of design                constraints and it is therefore of interest to parameterize those plants        and compensators that do.  Furthermore, in order to pose and analyze            identification and adaptive control problems as a recursive algorithm on        the parameterized space of plant-compensator pair, it is of interest to         understand the geometric properties of such a parameterization.  This           research programme is divided in three parts.  First the                        parameterization problem will be studied with a view towards parameter-         identification and adaptive control.  Subsequently the parameter-               identification problem will be studied as a recursive algorithm on the          parameter space and the analysis of both local and global convergence           will be carried out.  Finally the adaptive control problem wherein  the         parameters of the plant and the compensator vary in real time will be           studied.                                                                                The aim of the research is to parameterize certain classes of           systems which admit robust output feedback compensation and satisfy             certain design constraints.  It is expected that such parameterizations         will allow the development of new classes of stabilization,                     identification and adaptive control algorithms for the classes of               systems being considered.
{'FirstName': 'Bijoy', 'LastName': 'Ghosh', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bijoy K Ghosh', 'EmailAddress': 'bijoy.ghosh@ttu.edu', 'NSF_ID': '000098417', 'StartDate': '07/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Washington University', 'CityName': 'SAINT LOUIS', 'ZipCode': '63110', 'PhoneNumber': '3147474134', 'StreetAddress': 'ONE BROOKINGS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MO01', 'ORG_UEI_NUM': 'L6NFUM28LQM5', 'ORG_LGL_BUS_NAME': 'WASHINGTON UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '126600', 'Text': 'APPLIED MATHEMATICS'}, {'Code': '145400', 'Text': 'SYSTEMS THEORY'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8617978.xml'}