SYSTEM-IDENTIFICATION AND ITS APPLICATION TO ESTIMATING SOIL PROPERTIES

This paper examines the meaning of principal methods of system identif ication (SI). System identification is seen as a unique procedure to e stimate in situ soil properties, especially soil subject to large stra in. When applicable, parametric modeling of system processes is found to be superior to traditional Fourier methods. Several different metho ds have been presented to directly assess nonstationary data. These me thods cover a wide range, from transforming the data into a stationary signal to full-fledged nonlinear, nonstationary analysis. The method used will depend on the nature of the data available and the nature of the requisite information. Segmentation of the data into stationary p ieces gives sound results and is widely used. However, if the process of interest has time-varying parameters, a recursive technique should be used.