Presidential Young Investigator Award:  Fuzzy Learning      Adaptive Control for Precision Motion Systems
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'Ronald L. Rardin', 'PO_EMAI': None, 'PO_PHON': None}
This Presidential Young Investigator award will fund research              on methodologies for real-time expert rule-based adaptive control of            machinery (in contrast with conventional mathematical model-based               control).  The initial focus of the research will be on application             of the fuzzy-learning adaptive control (FLAC) technique to precision            motion systems.  Ultimately, through combining elements of                      mechanical design, VLSI electronics, and machine intelligence, the              goal is to realize a new generation of "smart" actuators and                    mechanisms for manufacturing automation and space applications.
{'FirstName': 'Denny', 'LastName': 'Miu', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Denny K Miu', 'EmailAddress': None, 'NSF_ID': '000454308', 'StartDate': '06/17/1993', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of California-Los Angeles', 'CityName': 'LOS ANGELES', 'ZipCode': '900244200', 'PhoneNumber': '3107940102', 'StreetAddress': '10889 WILSHIRE BLVD STE 700', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_ORG': 'CA36', 'ORG_UEI_NUM': 'RN64EPNH8JC6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, LOS ANGELES', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1465', 'Text': 'PRODUCTION SYSTEMS'}
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