Applications of swarm, evolutionary and quantum algorithms in system identification and digital filter design

Author

Bipul Luitel

Abstract

"The thesis focuses on the application of computational intelligence (CI) techniques for two problems - system identification and digital filter design. In system identification, different case studies have been carried out with equal or reduced number of orders as the original system and also in identifying a blackbox model. Lowpass, Highpass, Bandpass and Bandstop FIR and Lowpass IIR filters have been designed using three algorithms using two different fitness functions. Particle Swarm Optimization (PSO), Differential Evolution based PSO (DEPSO) and PSO with Quantum Infusion (PSO-QI) algorithms have been applied in this work"--Abstract, page iii.

Advisor(s)

Venayagamoorthy, Ganesh K.

Committee Member(s)

Grant, Steven L.
Watkins, Steve Eugene, 1960-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Sponsor(s)

National Science Foundation (U.S.)

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2009

Pagination

xi, 138 pages

Rights

© 2009 Bipul Luitel, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Computational intelligenceDigital filters (Mathematics)Swarm intelligence

Thesis Number

T 9491

Print OCLC #

436096039

Electronic OCLC #

299067332

Recommended Citation

Luitel, Bipul, "Applications of swarm, evolutionary and quantum algorithms in system identification and digital filter design" (2009). Masters Theses. 4642.
https://scholarsmine.mst.edu/masters_theses/4642