1 research outputs found
System Identification and Model-based Robust Nonlinear Disturbance Rejection Control
The robust disturbance rejection controller has been the subject of intensive
research due to its undeniable importance for automation. Modern control theory
tends to use model-based approaches versus model-free approaches, especially
when it comes to highly modern applications. The backbone of the dissertation
is based on the systematic modeling of dynamic systems and the development of
advanced control methods. Accordingly, the dissertation begins with the
investigation of nonlinearities in dynamic systems. The extension of classic
subspace algorithms for linear systems in the frequency domain is tackled using
the new local polynomial approach. Next, the problem of disturbance control is
addressed, namely modeling of uncertainties and non-modeled high-order
dynamics, fragility of the controller and observer systems, and the
non-linearities are analyzed separately.Comment: PhD Dissertation, 238 page