Title :
Approximately finite memory and the circle criterion
Author :
Sandberg, Irwin W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
fDate :
7/1/1994 12:00:00 AM
Abstract :
In recent work a complete characterization has been given of those input-output maps G that can be uniformly approximated by the maps of certain simple structures. The criterion is that G must satisfy certain continuity and approximately finite memory conditions. It is proved here that the conditions are satisfied by the input-output maps of feedback systems of a familiar type containing a (possibly distributed) linear part and a sector nonlinearity for which the circle condition for stability is met. In particular, this shows that such feedback systems, with inputs drawn from a certain large set of bounded functions, can be input-output approximated arbitrarily well by a structure that takes the form of a feedforward dynamical neural network
Keywords :
feedback; feedforward neural nets; identification; nonlinear dynamical systems; stability criteria; bounded functions; circle criterion; continuity; feedback systems; feedforward dynamical neural network; finite memory; input-output approximation; input-output maps; linear part; sector nonlinearity; stability; Communication channels; Equalizers; Extrapolation; Feedforward neural networks; Network synthesis; Neural networks; Neurofeedback; Nonlinear distortion; Nonlinear systems; Stability;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on