Title :
Frequency-weighted model reduction via quasi-Kalman decomposition
Author :
Diab, M. ; Sreeram, V. ; Liu, W.Q.
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Abstract :
A frequency-weighted model reduction method based on quasi-Kalman decomposition is proposed for discrete systems. The method is essentially an extension of the technique presented by Lu and Lee (1985) to the frequency weighted case and can handle both single-sided as well as double-sided weights. Two illustrative examples show the effectiveness of the method and results are compared with the method developed by Enns (1984).
Keywords :
Kalman filters; MIMO systems; controllability; discrete time systems; linear systems; matrix algebra; observability; reduced order systems; stability; MIMO systems; SISO systems; controllability; discrete systems; frequency-weighting; linear systems; model reduction; observability; quasi-Kalman decomposition; stability; Automatic control; Control systems; Digital control; Frequency estimation; Optimal control; Reduced order systems; Rivers; State estimation; System analysis and design; Uncertain systems;
Journal_Title :
Automatic Control, IEEE Transactions on
