Two degree-of-freedom of self-tuning GPC for M-input M-output systems by using a genetic algorithm

Akira Yanou, Mingcong Deng

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

Abstract

This paper proposes a design method of two degree-of-freedom of self-tuning GPC for m-input m-output systems by using a genetic algorithm. The genetic algorithm gives a solution of integral gain in two degree-of-freedom of self-tuning GPC. When the identified plant parameters converge on true values, the proposed method reveals the effect of the integral compensation only if there is modeling error or disturbance. Therefore the performance degradation caused by integral compensation can be avoided.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
Pages1831-1836
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010 - Xi'an, China
Duration: Aug 4 2010Aug 7 2010

Other

Other2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
CountryChina
CityXi'an
Period8/4/108/7/10

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Yanou, A., & Deng, M. (2010). Two degree-of-freedom of self-tuning GPC for M-input M-output systems by using a genetic algorithm. In 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010 (pp. 1831-1836). [5588745] https://doi.org/10.1109/ICMA.2010.5588745