![](/images/graphics-bg.png)
Sensitivity analysis for large
Dissertant
University
University of Technology
Faculty
-
Department
Department of Electrical Engineering
University Country
Iraq
Degree
Master
Degree Date
2000
English Abstract
In this research, an efficient computer method for analyzing large switched capacitor networks (SCN's) is presented.
Computations of frequency response and sensitivity analysis are feasible for two-phase switched-capacitor networks with ideal switches, capacitors, operational amplifiers and any type of controlled source with constant gain.
The method used is based on a combination of direct implementation of equivalent circuit and modified nodal analysis technique.
This combination is a suitable method to generate network equations for medium and large SCNs.
By solving these equations, using an optimum technique such as (LU factorization), frequency response and sensitivity analysis can be calculated.
A computer package called (MONAWARA) is designed and implemented to be specially related to performing frequency response and sensitivity analysis with respect to capacitor and sensitive parasitic capacitor values.
The programs are written using Visual Basic-language, which is suitable for simulation problems.
Several examples are presented to demonstrate the efficiency of the package, which proved to give acceptable results.
The package can be also used for industrial and educational purposes as well.
Main Subjects
Topics
American Psychological Association (APA)
al-Salim, Ziyad Saeed. (2000). Sensitivity analysis for large. (Master's theses Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-306223
Modern Language Association (MLA)
al-Salim, Ziyad Saeed. Sensitivity analysis for large. (Master's theses Theses and Dissertations Master). University of Technology. (2000).
https://search.emarefa.net/detail/BIM-306223
American Medical Association (AMA)
al-Salim, Ziyad Saeed. (2000). Sensitivity analysis for large. (Master's theses Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-306223
Language
English
Data Type
Arab Theses
Record ID
BIM-306223