Title :
A parametrization of all the unfalsified plant models for MIMO systems
Author_Institution :
Dept. of Comput. Intelligence, Tokyo Inst. of Technol., Yokohama, Japan
fDate :
1/1/1998 12:00:00 AM
Abstract :
The results of the parametrization of all the unfalsified models for single-input/single-output systems are extended to multi-input/multi-output (MIMO) systems. In this parametrization, the assumed a priori plant and noise information are upper bounds of the H ∞-norm of the plant matrix-valued transfer function and the noise magnitude. The parametrization is on the basis of several series of plant time-domain identification experiment data. It is shown that for MIMO systems, all the unfalsified plant matrix-valued transfer functions can still be expressed by the linear fractional transformation of a fixed matrix-valued transfer function and an H∞-norm bounded structure fixed, but uncertain matrix-valued transfer function. However, the high dimensions of the matrix-valued transfer functions involved in the parametrization hamper the direct application of these results to robust controller design. To overcome these difficulties, further efforts are needed
Keywords :
MIMO systems; extrapolation; identification; robust control; time-domain analysis; transfer function matrices; H∞-norm; MIMO systems; extrapolation; identification; linear fractional transformation; parametrization; robust control; time-domain analysis; transfer function matrix; unfalsified plant models; upper bounds; 1f noise; Computational intelligence; Control theory; Extrapolation; MIMO; Power system modeling; Robust control; Time domain analysis; Transfer functions; Upper bound;
Journal_Title :
Automatic Control, IEEE Transactions on