FUZZY SETS AND SYSTEMS - Journal - Bridge of Knowledge

Your account

login

Search

FUZZY SETS AND SYSTEMS

ISSN:

0165-0114

eISSN:

1872-6801

Disciplines
(Field of Science):

  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • information and communication technology (Engineering and Technology)
  • safety engineering (Engineering and Technology)
  • biomedical engineering (Engineering and Technology)
  • economics and finance (Social studies)
  • management and quality studies (Social studies)
  • international relations (Social studies)
  • mathematics (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 140 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 140 Ministry scored journals list 2024
2023 140 Ministry Scored Journals List
2022 140 Ministry Scored Journals List 2019-2022
2021 140 Ministry Scored Journals List 2019-2022
2020 140 Ministry Scored Journals List 2019-2022
2019 140 Ministry Scored Journals List 2019-2022
2018 40 A
2017 40 A
2016 40 A
2015 40 A
2014 40 A
2013 40 A
2012 40 A
2011 40 A
2010 32 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 6.5
Points CiteScore - previous years
Year Points
2023 6.5
2022 7.3
2021 7.1
2020 7
2019 6.5
2018 6.6
2017 5.4
2016 4.6
2015 4.3
2014 4.5
2013 4.8
2012 5.6
2011 5.1

Impact Factor:

Log in to see the Impact Factor.

Sherpa Romeo:

https://v2.sherpa.ac.uk/id/publication/11428

Papers published in journal

Filters

total: 2

  • Category
  • Year

clear Chosen catalog filters disabled

Catalog Journals

Year 2008
  • Stable indirect adaptive control based on discrete-time T-S fuzzy model
    Publication

    - FUZZY SETS AND SYSTEMS - Year 2008

    This paper presents an indirect adaptive fuzzy control scheme for uncertain nonlinear asymptotically stable plants.A discrete-time T-S fuzzy input-output model is employed to approximate the unknown plant dynamics. The T-S fuzzy model is fed with its own states, which are indeed its past outputs, rather than the measurements from the plants. Entirely based on this model, a feedback linearization control law is designed by using...

    Full text to download in external service

Year 2007
  • Stable indirect adaptive control based on discrete-time T-S fuzzy model
    Publication

    - FUZZY SETS AND SYSTEMS - Year 2007

    This paper presents an indirect adaptive fuzzy control scheme for uncertain nonlinear asymptotically stable plants.A discrete-time T-S fuzzy input-output model is employed to approximate the unknown plant dynamics. The T-S fuzzy model is fed with its own states, which are indeed its past outputs, rather than the measurements from the plants. Entirely based on this model, a feedback linearization control law is designed by using...

    Full text to download in external service

seen 617 times