ISSN:
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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)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 140 | Ministry scored journals list 2024 |
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:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 6.5 |
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:
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2008
-
Stable indirect adaptive control based on discrete-time T-S fuzzy model
PublicationThis 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...
Year 2007
-
Stable indirect adaptive control based on discrete-time T-S fuzzy model
PublicationThis 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...
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