A design method for minimizing sensitivity to plant parameter variationsA method is described for minimizing the sensitivity of multivariable systems to parameter variations. The variable parameters are considered as random variables and their effect is included in a quadratic performance index. The performance index is a weighted sum of the state and control covariances that stem from both the random system disturbances and the parameter uncertainties. The numerical solution of the problem is described and application of the method to several initially sensitive tracking systems is discussed. The sensitivity factor of reduction was typically 2 or 3 over a system based on random system noise only, and yet resulted in state RMS increases of only about a factor of two.
Document ID
19740055152
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hadass, Z.
Powell, J. D. (Stanford University Stanford, Calif., United States)
Date Acquired
August 7, 2013
Publication Date
August 1, 1974
Subject Category
Electronics
Report/Patent Number
AIAA PAPER 74-927
Meeting Information
Meeting: Mechanics and Control of Flight Conference
Location: Anaheim, CA
Start Date: August 5, 1974
End Date: August 9, 1974
Sponsors: American Institute of Aeronautics and Astronautics