This thesis presents the results of research targeted at automating the behavioral modeling process for switching voltage regulators. These regulators are commonly used in many application areas including discrete use in larger systems, integrated in a System on a Chip (SoC), or as the primary use case for a design. When used in an integrated system these regulators can be a significant force in slowing down simulations. A common method for removing this slowdown is to use a behavioral model of the switching regulator.
Creating behavioral models can be very time consuming and requires expertise.
The thesis discussion begins by developing a fundamental understanding of switching regulators, introduces common modeling methods used for switching regulators, and justifies the selection of the PWM switch modeling method. After discussing the fundamentals, the various methods of model generation and optimization are discussed and an examination of the software structure and development process is undertaken. The thesis concludes with a results presentation comparing automatically generated models with real-world measurement data.
","abstract_html":"<p>This thesis presents the results of research targeted at automating the behavioral modeling process for switching voltage regulators. These regulators are commonly used in many application areas including discrete use in larger systems, integrated in a System on a Chip (SoC), or as the primary use case for a design. When used in an integrated system these regulators can be a significant force in slowing down simulations. A common method for removing this slowdown is to use a behavioral model of the switching regulator.</p> <p>Creating behavioral models can be very time consuming and requires expertise.</p> <p>The thesis discussion begins by developing a fundamental understanding of switching regulators, introduces common modeling methods used for switching regulators, and justifies the selection of the PWM switch modeling method. After discussing the fundamentals, the various methods of model generation and optimization are discussed and an examination of the software structure and development process is undertaken. The thesis concludes with a results presentation comparing automatically generated models with real-world measurement data.</p>","abstract_has_math":false,"creators":["Leonard, Michael Heath"],"institution":null,"degree_name":"Master of Science in Electrical Engineering (MSEE)","degree_level":"Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Francis, A. Matthew","Vrotsos, Tom A."],"advisors":["Mantooth, H. Alan"],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-05-01T07:00:00Z","date_published":"2015-05-01T07:00:00Z","updated_at":"2026-07-24T00:58:53Z","subjects":["Applied sciences","Automation","Behavioral","Optimization","Regulators","Switching","Electrical and Electronics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.uark.edu/etd/1166","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Francis, A. Matthew","Vrotsos, Tom A."]},{"key":"dc:contributor.advisor","label":"Advisor","values":["Mantooth, H. Alan"]},{"key":"dc:creator","label":"Author","values":["Leonard, Michael Heath"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-09-29T07:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Electrical Engineering (MSEE)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Applied sciences","Automation","Behavioral","Optimization","Regulators","Switching","Electrical and Electronics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.uark.edu/etd/1166"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis presents the results of research targeted at automating the behavioral modeling process for switching voltage regulators. These regulators are commonly used in many application areas including discrete use in larger systems, integrated in a System on a Chip (SoC), or as the primary use case for a design. When used in an integrated system these regulators can be a significant force in slowing down simulations. A common method for removing this slowdown is to use a behavioral model of the switching regulator.
Creating behavioral models can be very time consuming and requires expertise.
The thesis discussion begins by developing a fundamental understanding of switching regulators, introduces common modeling methods used for switching regulators, and justifies the selection of the PWM switch modeling method. After discussing the fundamentals, the various methods of model generation and optimization are discussed and an examination of the software structure and development process is undertaken. The thesis concludes with a results presentation comparing automatically generated models with real-world measurement data.
"]},{"key":"dc:title","label":"Title","values":["Semi-Automated Switching Regulator Modeling Method and Tool"]}]}],"canonical_facts":{"dc:contributor":["Francis, A. Matthew","Vrotsos, Tom A."],"dc:contributor.advisor":["Mantooth, H. Alan"],"dc:creator":["Leonard, Michael Heath"],"dc:date":["2015"],"dc:date.available":["2017-09-29T07:00:00Z"],"dc:description.abstract":["This thesis presents the results of research targeted at automating the behavioral modeling process for switching voltage regulators. These regulators are commonly used in many application areas including discrete use in larger systems, integrated in a System on a Chip (SoC), or as the primary use case for a design. When used in an integrated system these regulators can be a significant force in slowing down simulations. A common method for removing this slowdown is to use a behavioral model of the switching regulator.
Creating behavioral models can be very time consuming and requires expertise.
The thesis discussion begins by developing a fundamental understanding of switching regulators, introduces common modeling methods used for switching regulators, and justifies the selection of the PWM switch modeling method. After discussing the fundamentals, the various methods of model generation and optimization are discussed and an examination of the software structure and development process is undertaken. The thesis concludes with a results presentation comparing automatically generated models with real-world measurement data.
"],"dc:identifier":["https://scholarworks.uark.edu/etd/1166"],"dc:subject":["Applied sciences","Automation","Behavioral","Optimization","Regulators","Switching","Electrical and Electronics"],"dc:title":["Semi-Automated Switching Regulator Modeling Method and Tool"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science in Electrical Engineering (MSEE)"]},"updated_at":"2026-07-24T00:58:53Z"}