In this paper, the results on the parameterization of all the unfalsif
ied models for single-input/single-output systems are extended to mult
i-input/multi-output systems. In this parameterization, the assumed a
priori plant and noise information are upper bounds of the H-infinity-
norm of the plant matrix-valued transfer function and the noise magnit
ude, The parameterization is on the basis of several series of plant t
ime-domain identification experiment data. It is shown that for multi-
input/multi-output systems, all the unfalsified plant matrix-valued tr
ansfer functions can still be expressed by the linear fractional trans
formation of a fixed matrix-valued transfer function and an H-infinity
-norm bounded structure fixed, but uncertain matrix-valued transfer fu
nction, However, the high dimensions of the matrix-valved transfer fun
ctions involved in the parameterization hamper the direct application
of these results to robust controller design, To overcome these diffic
ulties, further efforts are needed.