The University of Newcastle Identification Toolbox (UNIT)
Abstract
This paper describes a MATLAB-based software package for estimation ofdynamic systems. A wide range of standard estimation approaches aresupported. These include the use of non-parametric, subspace-based and prediction-erroralgorithms coupled (in the latter case) witheither MIMO state space or MISO polynomial model structures. A key feature of the software is theimplementation of several new techniques that have been investigatedby the authors. These include the estimation of non-linear models,the use of non-standard model parametrizations, and the employment of ExpectationMaximisation (EM) methods.
