Title
Multiobjective Nonlinear System Identification: A Case Study With Thyristor Controlled Series Capacitor (Tcsc)
Abstract
This paper deals with multiobjective nonlinear system identification applied when modelling the relation of firing angle and equivalent reactance of a thyristor controlled series capacitor (TCSC). The mathematical representation chosen is NARMAX (Nonlinear AutoRegressive Moving Average with eXogenous inputs) due to its capability in modelling nonlinear systems and in using prior information. The methodology for incorporation of prior knowledge is presented, and particular attention is given to the case of using information about resonant static response.
Year
DOI
Venue
2004
10.1080/00207720412331285977
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
Field
DocType
nonlinear system,moving average,parameter estimation,measurement error,time series,least mean square,prediction error,nonlinear dynamics,time series data,nonlinear system identification
Reactance,Autoregressive–moving-average model,Capacitor,Nonlinear system,Static response,Control theory,Nonlinear system identification,Control engineering,Representation (mathematics),Thyristor,Mathematics
Journal
Volume
Issue
ISSN
35
9
0020-7721
Citations 
PageRank 
References 
2
0.38
5
Authors
5