EIA: Robust Control of Systems with Parameter Uncertainty:  An Operator Theoretic Approach
{'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}
The general problem of robust system control consists of                constructing fixed feedback controllers for possibly unstable families          of systems with parameter or modelling uncertainty in order to stabilize        the given family and in order to meet certain performance                       specifications. This proposal is concerned with an operator theoretic           and functional analytic approach to this problem for multivariable,             distributed, and even possibly nonlinear plants.  Specifically,                 techniques will be proposed to solve the H-Infinity-optimal weighted            sensitivity problem for multivariate distributed systems, and methods           will be developed for obtaining new qualitative and quantitive results          for very general multivariable gain margin problems.  Moreover, a               nonlinear version of classical interpolation theory will be considered          and it should have important consequences in adaptive and robust                nonlinear control.  It is expected that the proposed operator theoretic         approach should help resolve some fundamental problems in robust design         and illuminate a number of central theoretical issues in this area.  In         addition, specific algorithms will be developed to implement the methods        on the computer. The general problem of robust system control consists          of constructing fixed feedback controllers for possibly unstable                families of systems with parameter or modelling uncertainty in order to         stabilize the given family and in order to meet certain performance             specifications. This proposal is concerned with an operator theoretic           and functional analytic approach to this problem for multivariable,             distributed, and even possibly nonlinear plants.
{'FirstName': 'Allen', 'LastName': 'Tannenbaum', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Allen Tannenbaum', 'EmailAddress': 'allen.tannenbaum@stonybrook.edu', 'NSF_ID': '000167875', 'StartDate': '07/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1454', 'Text': 'SYSTEMS THEORY'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8704047.xml'}