Mathematical Sciences: Asymptotic Analysis for Some         Stochastic Systems
{'Code': '03040100', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Michael Steuerwalt', 'PO_EMAI': None, 'PO_PHON': None}
This project has three distinct parts:                                                                                                                     (1).  A stopping rule for least squares identification is                       proposed.  It is so designed that with any degree of accuracy,                  the recursive procedure will terminate if the iterates are                      inside a confidence ellipsoid with high probability.                                                                                                            (2).  The robustness problem of some stochastic approximation                   type algorithms will be investigated.  The necessary and                        sufficient condition for convergence is expected to be derived.                                                                                                 (3).  The problem of open queueing network with parallel                        observers will be studied.  Nearly optimal control and a                        suitable numerical algorithm are expected to be obtained.                                                                                                           These represent areas in which mathematics may be used to                   solve problems related to the control of mechanical and                         electrical systems.
{'FirstName': 'Gang George', 'LastName': 'Yin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gang George Yin', 'EmailAddress': 'gyin@uconn.edu', 'NSF_ID': '000229578', 'StartDate': '01/01/1989', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
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[{'Code': '1266', 'Text': 'APPLIED MATHEMATICS'}, {'Code': '5514', 'Text': 'OPERATIONS RESEARCH'}]
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