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Plant identification using model reference techniques
Adaptive control is a branch of control which came to the fore in the early 1950's. It evolved due to the necessity of a systematic technique for the design of optimal control systems when the dynamic characteristics of the plant under consideration are poorly known or. when the plant is subjected t...
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| Format: | Thesis |
| Language: | English English |
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Department of Electrical Engineering
2026
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| _version_ | 1867613197313245185 |
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| access_status_str | Open Access |
| author | Camara, C D J |
| author2 | McLaren, S G |
| author_browse | Camara, C D J McLaren, S G |
| author_facet | McLaren, S G Camara, C D J |
| author_sort | Camara, C D J |
| collection | Thesis |
| description | Adaptive control is a branch of control which came to the fore in the early 1950's. It evolved due to the necessity of a systematic technique for the design of optimal control systems when the dynamic characteristics of the plant under consideration are poorly known or. when the plant is subjected to large and unpredictable variations. The basic principal behind adaptive controllers is the continual adaptation of the controller parameters in order to n~ll the effect of drift variations which may occur in the dynamic characteristics of the plant under consideration. It is this elimination of the effect of drift variations upon the performance of the control system, which makes adaptive control such an attractive scheme as compared to the classical feedback control methods. A special branch of adaptive systems known in the literature as Model Reference Adaptive Systems (MRAS'S), evolved in the late 1950's. A MRAS is an adaptive system which operates to null an error between the plant under consideration and a model by adapting the characteristics of the model. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/42996 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-06-10T12:32:18.917Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/42996 Plant identification using model reference techniques Camara, C D J McLaren, S G Adaptive control systems - Mathematical models Adaptive control is a branch of control which came to the fore in the early 1950's. It evolved due to the necessity of a systematic technique for the design of optimal control systems when the dynamic characteristics of the plant under consideration are poorly known or. when the plant is subjected to large and unpredictable variations. The basic principal behind adaptive controllers is the continual adaptation of the controller parameters in order to n~ll the effect of drift variations which may occur in the dynamic characteristics of the plant under consideration. It is this elimination of the effect of drift variations upon the performance of the control system, which makes adaptive control such an attractive scheme as compared to the classical feedback control methods. A special branch of adaptive systems known in the literature as Model Reference Adaptive Systems (MRAS'S), evolved in the late 1950's. A MRAS is an adaptive system which operates to null an error between the plant under consideration and a model by adapting the characteristics of the model. 2026-03-17T12:42:18Z 2026-03-17T12:42:18Z 1987 2024-07-22T08:06:55Z Thesis / Dissertation Masters MSc (Eng) http://hdl.handle.net/11427/42996 en eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Adaptive control systems - Mathematical models Camara, C D J Plant identification using model reference techniques |
| thesis_degree_str | Master's |
| title | Plant identification using model reference techniques |
| title_full | Plant identification using model reference techniques |
| title_fullStr | Plant identification using model reference techniques |
| title_full_unstemmed | Plant identification using model reference techniques |
| title_short | Plant identification using model reference techniques |
| title_sort | plant identification using model reference techniques |
| topic | Adaptive control systems - Mathematical models |
| url | http://hdl.handle.net/11427/42996 |
| work_keys_str_mv | AT camaracdj plantidentificationusingmodelreferencetechniques |