Development of Covariance Control Methods
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
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For almost thirty years, control by eigenvalue-eigenvector assignment           and quadratic optimization (including LQR, LQG, LQR-LTR) have been the          most popular controller design methods for multi-input, multi-output            systems.  However, these methods can only guarantee that the control            system state vector as a whole behaves well.  Very little is said               about the transient behavior of individual state variables.  This               proposal introduces the idea of Covariance Control, which is a method           for ensuring a "good behavior" of each state variable separately.  We           believe that covariance control can become more powerful and useful             than the more popular state-space control methods.
{'FirstName': 'Robert', 'LastName': 'Skelton', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert E Skelton', 'EmailAddress': 'bobskelton@tamu.edu', 'NSF_ID': '000255549', 'StartDate': '01/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
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{'Code': '1454', 'Text': 'SYSTEMS THEORY'}
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