Nonlinear and Stochastic Descriptor Varivable Systems
{'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}
This research concerns descriptor variable systems.  Such systems arise         in a variety of engineering areas, and this framework is becoming more          common because of the increase in computing capability and the emphasis         on flexibility in problem formulation and modeling.  Two major topics           are proposed for research.  The first is for the continuation of the            proposer's previous work on the theory and application of nonlinear             descriptor systems.  This work focuses primarily on the development of          general algorithms for solving such systems.  These algorithms would be         important for solving nonlinear descriptor models, but also for the             solution of analytical problems arising in optimal control, dynamic             games, and dynamic equilibria.  The other major topic proposed is the           study of stochastic descriptor variable systems.  This area is                  important because stochastic systems are often formulated in descriptor         variable form.  In addition problems of estimation, smoothing, and              stochastic equilibria all lead to stochastic descriptor variable                systems.  A general theory would provide unity and new algorithms for           these problems.
{'FirstName': 'David', 'LastName': 'Luenberger', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David G Luenberger', 'EmailAddress': 'luen@leland.stanford.edu', 'NSF_ID': '000448511', 'StartDate': '06/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Stanford University', 'CityName': 'STANFORD', 'ZipCode': '943052004', 'PhoneNumber': '6507232300', 'StreetAddress': '450 JANE STANFORD WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': 'HJD6G4D6TJY5', 'ORG_LGL_BUS_NAME': 'THE LELAND STANFORD JUNIOR UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1454', 'Text': 'SYSTEMS THEORY'}, {'Code': '1518', 'Text': 'CONTROL, NETWORKS, & COMP INTE'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8619860.xml'}