Fractional-PD μ controllers for irrational systems

Adrian Josue Guel Cortez, Mihir Sen, Bill Goodwine, Cesar-Fernando Mendez-Barrios

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This work presents a simple procedure for designing fractional PD μ controllers for a type of implicit operators, which have recently been studied to describe large-scale systems. The methodology developed proposes a geometrical approach that allows characterizing the parameter-space of the PD μ controller into stable and unstable regions. Several numerical examples illustrate the effectiveness of the proposed results.

Original languageEnglish
Title of host publication2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
PublisherIEEE
Pages13-18
Number of pages6
ISBN (Electronic)9781728105215
ISBN (Print)9781728105215
DOIs
Publication statusPublished - 2 Sep 2019
Event6th International Conference on Control, Decision and Information Technologies - Paris, France
Duration: 23 Apr 201926 Apr 2019
Conference number: 6th
https://codit19.com/

Publication series

Name2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
ISSN (Electronic)2576-3555

Conference

Conference6th International Conference on Control, Decision and Information Technologies
Abbreviated titleCoDIT'19
CountryFrance
CityParis
Period23/04/1926/04/19
Internet address

Keywords

  • control system synthesis
  • large-scale systems
  • linear systems
  • PD control
  • time-varying systems

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Control and Optimization
  • Decision Sciences (miscellaneous)

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  • Cite this

    Guel Cortez, A. J., Sen, M., Goodwine, B., & Mendez-Barrios, C-F. (2019). Fractional-PD μ controllers for irrational systems. In 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 (pp. 13-18). [8820577] (2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019). IEEE. https://doi.org/10.1109/codit.2019.8820577