Sensitivity analysis for large

Dissertant

al-Salim, Ziyad Saeed

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

Electronic engineering

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