System Identification

Subspace system identification

We give a general overview of the state-of-the-art in subspace system identification methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties. First, the basis of linear subspace identification are summarized. Different algorithms one finds in literature (Such as N4SID, MOESP, CVA) are discussed and put into a unifyin...

System Identification

System Identification

In this chapter, some numerical optimization methods are presented to search the minimum of the cost functions. A vast amount of literature on this topic is available. Here we stick to only a few methods, that are very well suited to take full advantage of the special structure of the cost functions as they appeared in Chapter 2. 4.

FACTS Control Parameters Identification for Enhancement of Power System Stability

The aim of this paper is to investigate a novel approach for output feedback damping controller design ofSTATCOM in order to enhance the damping of power system low frequency oscillations (LFO). The design ofoutput feedback controller is considered as an optimization problem according with the time domain-basedobjective function which is solved by a honey bee mating optimization algorithm (HBMO...

System Identification Based on Frequency Response Noisy Data

In this paper, a new algorithm for system identification based on frequency response is presented. In this method, given a set of magnitudes and phases of the system transfer function in a set of discrete frequencies, a system of linear equations is derived which has a unique and exact solution for the coefficients of the transfer function provided that the data is noise-free and the degrees of...