Adaptive Robust Control Systems
This book focuses on the applications of robust and adaptive control approaches to practical systems. The proposed control systems hold two important features: (1) The system is robust with the variation in plant parameters and disturbances (2) The system adapts to parametric uncertainties even in t...
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| Médium: | Online |
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| Jazyk: | angličtina |
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IntechOpen
2023
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| On-line přístup: | ONIX_20231201_9789535137979_997 |
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| collection | Directory of Open Access Books |
| description | This book focuses on the applications of robust and adaptive control approaches to practical systems. The proposed control systems hold two important features: (1) The system is robust with the variation in plant parameters and disturbances (2) The system adapts to parametric uncertainties even in the unknown plant structure by self-training and self-estimating the unknown factors. The various kinds of robust adaptive controls represented in this book are composed of sliding mode control, model-reference adaptive control, gain-scheduling, H-infinity, model-predictive control, fuzzy logic, neural networks, machine learning, and so on. The control objects are very abundant, from cranes, aircrafts, and wind turbines to automobile, medical and sport machines, combustion engines, and electrical machines. |
| format | Online |
| id | doab-20.500.12854ir-129888 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1298882024-04-11T20:33:51Z Adaptive Robust Control Systems Anh Tuan, Le adaptive control, sliding mode control, machine learning, energy, neural networks, uav thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering This book focuses on the applications of robust and adaptive control approaches to practical systems. The proposed control systems hold two important features: (1) The system is robust with the variation in plant parameters and disturbances (2) The system adapts to parametric uncertainties even in the unknown plant structure by self-training and self-estimating the unknown factors. The various kinds of robust adaptive controls represented in this book are composed of sliding mode control, model-reference adaptive control, gain-scheduling, H-infinity, model-predictive control, fuzzy logic, neural networks, machine learning, and so on. The control objects are very abundant, from cranes, aircrafts, and wind turbines to automobile, medical and sport machines, combustion engines, and electrical machines. 2023-12-01T16:21:25Z 2023-12-01T16:21:25Z 2018 book ONIX_20231201_9789535137979_997 9789535137979 9789535137962 9789535140702 https://directory.doabooks.org/handle/20.500.12854/129888 eng image/jpeg n/a https://www.intechopen.com/books/6240 https://mts.intechopen.com/storage/books/6240/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.68813 10.5772/intechopen.68813 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535137979 9789535137962 9789535140702 IntechOpen 362 open access |
| spellingShingle | adaptive control, sliding mode control, machine learning, energy, neural networks, uav thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering Adaptive Robust Control Systems |
| title | Adaptive Robust Control Systems |
| title_full | Adaptive Robust Control Systems |
| title_fullStr | Adaptive Robust Control Systems |
| title_full_unstemmed | Adaptive Robust Control Systems |
| title_short | Adaptive Robust Control Systems |
| title_sort | adaptive robust control systems |
| topic | adaptive control, sliding mode control, machine learning, energy, neural networks, uav thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering |
| topic_facet | adaptive control, sliding mode control, machine learning, energy, neural networks, uav thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering |
| url | ONIX_20231201_9789535137979_997 |