Robustness Analysis of Self-Tuning Controllers
{'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}
Recently, an issue which has emerged as being important for practical           applications, is the behavior of adaptive controllers in practical              realistic environments, where the assumptions made in the idealized             nominal theory are not satisfied.  This research program analyzes the           robustness problem for stochastic self-tuning controllers.  Other               issues such as presence of measurement noise, stray excitations 'picked         up' by the system, etc., will also be addressed and attention will be           given to the utility of remedies proposed.  Moreover, the research will         also deal with some properties which are totally intrinsic to adaptive          algorithms, and show how these properties manifest themselves in                applications.
{'FirstName': 'Panganamala', 'LastName': 'Kumar', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Panganamala R Kumar', 'EmailAddress': 'prk@tamu.edu', 'NSF_ID': '000400246', 'StartDate': '07/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'ZipCode': '618013620', 'PhoneNumber': '2173332187', 'StreetAddress': '506 S WRIGHT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': 'Y8CWNJRCNN91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1454', 'Text': 'SYSTEMS THEORY'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8414676.xml'}