Large-Scale Scientific Computing in Control
{'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 proposal describes an interdisciplinary research project whose             principal objective is to extend the computational frontiers of                 control and system theory.  A hierarchy of computational                        considerations is outlined, ranging from small-order problems to                large-order problems.  Recent analytic techniques which demonstrate             numerical limitations of standard algorithms for the former will be             improved and extended.  However, the principal research thrust will be          towards high-order problems for which rather few dependable numerical           techniques presently exist, particularly for problems arising from              models in so-called second-order matrix form.  Such models arise                naturally throughout most branches of engineering and the sciences.             It is proposed to extend various control and system theory algorithms           to exploit the special matrix structures available in the ubiquitous            second-order equations.                                                                                                                                         Parallel algorithms and specialized computing architectures offer               promising opportunities to meet the challenge of advanced control               strategies for both on-line and off-line computations.  By examining            problems of fundamental and generic interest (especially those                  generated by second-order models), this project will contribute                 parallel algorithms and software to support computations arising in             problems ranging from active control for high performance aircraft              engines to vibration control for large space structures to control of           interconnected power systems.  Such applications will require at least          an order of magnitude improvement in speed and the size of problems             solvable.  Close attention will be paid to basic numerical issues such          as conditioning and stability; and implementation of algorithms into            reliable and robust software will facilitate effective technology               transfer to industry, government, and academia.
{'FirstName': 'Alan', 'LastName': 'Laub', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alan J Laub', 'EmailAddress': 'laub@ucla.edu', 'NSF_ID': '000387075', 'StartDate': '03/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'ZipCode': '931060001', 'PhoneNumber': '8058934188', 'StreetAddress': '3227 CHEADLE HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'G9QBQDH39DF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SANTA BARBARA', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
[{'Code': '126600', 'Text': 'APPLIED MATHEMATICS'}, {'Code': '127100', 'Text': 'COMPUTATIONAL MATHEMATICS'}, {'Code': '145400', 'Text': 'SYSTEMS THEORY'}, {'Code': '151800', 'Text': 'CONTROL, NETWORKS, & COMP INTE'}, {'Code': '272400', 'Text': None}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8718897.xml'}