Nonlinear Compensation for Cost of Feedback Reduction in    Highly Uncertain Systems
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Kristen M. Biggar, N-BioS', 'PO_EMAI': None, 'PO_PHON': None}
This research considers a fundamental control problem, the compensation         of uncertain plants.  The effect of sensor noise at the plant input is          taken into account in the compensator design and is called the cost of          feedback.  Nonlinear compensation techniques are proposed for achieving         desired feedback benefits with less cost than in conventional optimal           linear time invariant design.  The proposed techniques take into                account most important factors occurring in real applications, i.e.             plant uncertainty, sensor noise, and loop bandwith.  Nonlinear                  compensation, though still in its infancy, is potentially a very                powerful tool for control system design.  The research being proposed           holds the promise of providing nonlinear compensation techniques which          would be extremely useful in designing real world control systems.
{'FirstName': 'Isaac', 'LastName': 'Horowitz', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Isaac M Horowitz', 'EmailAddress': None, 'NSF_ID': '000098652', 'StartDate': '09/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'ZipCode': '956186153', 'PhoneNumber': '5307547700', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'CA04', 'ORG_UEI_NUM': 'TX2DAGQPENZ5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, DAVIS', 'ORG_PRNT_UEI_NUM': 'NUDGYLBB4S99'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1454', 'Text': 'SYSTEMS THEORY'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8608875.xml'}