This paper dears with the problem of global stabilization of linear di
screte time systems by means of bounded feedback laws. The main result
proved is an analog of one proved for the continuous time case by the
authors, and shows that such stabilization is possible if and only if
the system is stabilizable with arbitrary controls and the transition
matrix has spectral radius less than or equal to one. The proof provi
des in principle an algorithm for the construction of such feedback la
ws, which can be implemented either as cascades or as parallel connect
ions (''single hidden layer neural networks'') of simple saturation fu
nctions. (C) 1997 Elsevier Science B.V.