ETD

• Home

View Document

Title

Identification of Linear Time Invariant Nonminimum Phase Systems

Organization

Department: Measurement & Control Engineering

University: Idaho State University College: Science & Engineering Department: Measurement & Control Engineering 32

Document Attachments

Resource	Length	Width	Thickness
Paper	0	0	0

Specimen Elements

City

Pocatello

Coverage

Unknown to Unknown

Creator

Moroni A. Jenks

Publisher

Idaho State University

Type

Thesis

Is Complete

No

Date Published

4/28/2023

Archive

digital

City: Pocatello

Degree

Master

Document Attachments

Abstracts

Identification of nonminimum phase noisy systems is a difficult problem to solve using ordinary linear regression because these systems have unstable inverses. This work explores the novel use of open-source software in identifying nonminimum phase systems. The software simplifies empirical transfer function estimates from a high order approximation to a lower order approximation even when output noise is present. A carefully crafted input signal is used to overcome some of the difficulties of these systems.An approach for system order selection based on the mean square error is used to simplify the decision-making process. Some remaining issues and possible extensions are discussed. Key Words: System Identification, Nonminimum Phase, LTI