Optimal Periodic Control Processes
{'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 goal of this research is to generlize and clarify a number of               recent results on periodic optimal control theory.  In particular, a            number of theoretical and computational issues will be investigated: to         show that the sufficiency condition, if weakened in a minimal way, is           also necessary; to show how a neighboring optimum periodic regulator            can be constructed and, for a special class of systems, generalized to          obtain global stability to a limit cycle; to study the relationship of          this periodic regulator with that of the linear-quadratic regulator and         its associated symmetric algebraic Riccati equation; to indicate how            the periodic constraints, bounded state and/or control constraints, can         be included in the periodic optimal control formulation; to determine           the effects on robustness of uncertain dynamical systems by using               periodic feedback gains; and to extend the necessary and sufficient             conditions to quasi-periodic optimal control problems with slowly               varying parameters.  It is expected that these results could have               significant impact on such diverse areas as chemical process control            and flight mechanics.
{'FirstName': 'Jason', 'LastName': 'Speyer', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jason L Speyer', 'EmailAddress': 'speyer@seas.ucla.edu', 'NSF_ID': '000103424', 'StartDate': '01/15/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'ZipCode': '787121139', 'PhoneNumber': '5124716424', 'StreetAddress': '110 INNER CAMPUS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'TX25', 'ORG_UEI_NUM': 'V6AFQPN18437', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT AUSTIN', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '145400', 'Text': 'SYSTEMS THEORY'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8413475.xml'}