Neural Networks for System Identification

Abstract The paper discusses a theoretical framework within which recent results obtained for the identification and control of single-input single-output (SISO) and multi-input multi-output (MIMO) or multivariable systems can be viewed, and describes some problems encountered in the practical implementation of identification and control methods using neural networks.