Presidential Young Investigator Award:  Development of      Robust Adaptive Control Techniques for Large Scale Systems
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
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The research plan for this project is to examine the effects of                 time varying parameters on the stability of adaptive control                    algorithms.  Two dual models for the parameter time variations                  will be examined:  (1) large changes infrequently ("jump                        parameters"); and (2) small changes infrequently ("drift                        parameters").  New algorithms will be developed which can handle                both types of variations while preserving their global stability                properties and good performance.  Initially, continuous-time                    plants and algorithms will be considered and later on, the                      continuous-time results will be extended to the discrete time                   case.
{'FirstName': 'Hosain Ali', 'LastName': 'Pak', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hosain Ali Pak', 'EmailAddress': None, 'NSF_ID': '000465144', 'StartDate': '09/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'ZipCode': '90033', 'PhoneNumber': '2137407762', 'StreetAddress': '3720 S FLOWER ST FL 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '34', 'CONGRESS_DISTRICT_ORG': 'CA34', 'ORG_UEI_NUM': 'G88KLJR3KYT5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTHERN CALIFORNIA', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '146500', 'Text': 'PRODUCTION SYSTEMS'}
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