Observer-based adaptive fuzzy output feedback control for functional constraint systems with dead-zone input
This paper develops an adaptive output feedback control for a class of functional constraint systems with unmeasurable states and unknown dead zone input. The constraint is a series of functions closely linked to state variables and time, which is not achieved in current research results and is more...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2023-01-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023123?viewType=HTML |
| _version_ | 1811175589827051520 |
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| author | Tianqi Yu Lei Liu Yan-Jun Liu |
| author_facet | Tianqi Yu Lei Liu Yan-Jun Liu |
| author_sort | Tianqi Yu |
| collection | DOAJ |
| description | This paper develops an adaptive output feedback control for a class of functional constraint systems with unmeasurable states and unknown dead zone input. The constraint is a series of functions closely linked to state variables and time, which is not achieved in current research results and is more general in practical systems. Furthermore, a fuzzy approximator based adaptive backstepping algorithm is designed and an adaptive state observer with time-varying functional constraints (TFC) is constructed to estimate the unmeasurable states of the control system. Relying on the relevant knowledge of dead zone slopes, the issue of non-smooth dead-zone input is successfully solved. The time-varying integral barrier Lyapunov functions (iBLFs) are employed to guarantee that the states of the system remain within the constraint interval. By Lyapunov stability theory, the adopted control approach can ensure the stability of the system. Finally, the feasibility of the considered method is conformed via a simulation experiment. |
| first_indexed | 2024-04-10T19:38:09Z |
| format | Article |
| id | doaj.art-db658412657e45e3aaa43d47d74bf7ed |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-04-10T19:38:09Z |
| publishDate | 2023-01-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-db658412657e45e3aaa43d47d74bf7ed2023-01-30T01:23:03ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-01-012022628265010.3934/mbe.2023123Observer-based adaptive fuzzy output feedback control for functional constraint systems with dead-zone inputTianqi Yu 0Lei Liu 1Yan-Jun Liu2College of Science, Liaoning University of Technology, Jinzhou 121001, ChinaCollege of Science, Liaoning University of Technology, Jinzhou 121001, ChinaCollege of Science, Liaoning University of Technology, Jinzhou 121001, ChinaThis paper develops an adaptive output feedback control for a class of functional constraint systems with unmeasurable states and unknown dead zone input. The constraint is a series of functions closely linked to state variables and time, which is not achieved in current research results and is more general in practical systems. Furthermore, a fuzzy approximator based adaptive backstepping algorithm is designed and an adaptive state observer with time-varying functional constraints (TFC) is constructed to estimate the unmeasurable states of the control system. Relying on the relevant knowledge of dead zone slopes, the issue of non-smooth dead-zone input is successfully solved. The time-varying integral barrier Lyapunov functions (iBLFs) are employed to guarantee that the states of the system remain within the constraint interval. By Lyapunov stability theory, the adopted control approach can ensure the stability of the system. Finally, the feasibility of the considered method is conformed via a simulation experiment.https://www.aimspress.com/article/doi/10.3934/mbe.2023123?viewType=HTMLfuzzy state observertime-varying functional constraints (tfc)dead-zone inputadaptive fuzzy controlbackstepping algorithm |
| spellingShingle | Tianqi Yu Lei Liu Yan-Jun Liu Observer-based adaptive fuzzy output feedback control for functional constraint systems with dead-zone input Mathematical Biosciences and Engineering fuzzy state observer time-varying functional constraints (tfc) dead-zone input adaptive fuzzy control backstepping algorithm |
| title | Observer-based adaptive fuzzy output feedback control for functional constraint systems with dead-zone input |
| title_full | Observer-based adaptive fuzzy output feedback control for functional constraint systems with dead-zone input |
| title_fullStr | Observer-based adaptive fuzzy output feedback control for functional constraint systems with dead-zone input |
| title_full_unstemmed | Observer-based adaptive fuzzy output feedback control for functional constraint systems with dead-zone input |
| title_short | Observer-based adaptive fuzzy output feedback control for functional constraint systems with dead-zone input |
| title_sort | observer based adaptive fuzzy output feedback control for functional constraint systems with dead zone input |
| topic | fuzzy state observer time-varying functional constraints (tfc) dead-zone input adaptive fuzzy control backstepping algorithm |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2023123?viewType=HTML |
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