Parameter identification of dynamic systems using traditional and higher order sliding mode control

The objective of this thesis is to estimate the parameters of dynamic systems using the Sliding Mode Control Technique.; In order to improve the accuracy of the parameters estimated, the number of measurements was increased, resulting in an over-determined system. In this case the mean least squares method was incorporated to accommodate all the measurements in the over-determined case. The parameters to be estimated were calculated using traditional and higher order sliding mode observers and the pseudo-inverse technique.; In the case studies of DC-motor and Aircraft pitch dynamics, the measurement accuracy of the results was verified using the performance index factor.