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Control system design using artificial intelligence
Includes bibliography.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2015
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| _version_ | 1867613291690328064 |
|---|---|
| access_status_str | Open Access |
| author | Tebbutt, Colin Dean |
| author2 | Braae, Martin |
| author_browse | Braae, Martin Tebbutt, Colin Dean |
| author_facet | Braae, Martin Tebbutt, Colin Dean |
| author_sort | Tebbutt, Colin Dean |
| collection | Thesis |
| description | Includes bibliography. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/14697 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:48.261Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| 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:11427/14697 Control system design using artificial intelligence Tebbutt, Colin Dean Braae, Martin Electrical Engineering Electronic Engineering Expert Systems Computer Aided Control System Design Linear Systems Multivariable Control Systems Matrix Fractions Quadratic Programming Includes bibliography. Successful multivariable control system design demands knowledge, skill and creativity of the designer. The goal of the research described in this dissertation was to investigate, implement, and evaluate methods by which artificial intelligence techniques, in a broad sense, may be used in a design system to assist the user. An intelligent, interactive, control system design tool has been developed to fulfil this aim. The design tool comprises two main components; an expert system on the upper level, and a powerful CACSD package on the lower level. The expert system has been constructed to assist and guide the designer in using the facilities provided by the underlying CACSD package. Unlike other expert systems, the user is also aided in formulating and refining a comprehensive and achievable design specification, and in dealing with conflicts which may arise within this specification. The assistance is aimed at both novice and experienced designers. The CACSD package includes a synthesis program which attempts to find a controller that satisfies the design specification. The synthesis program is based upon a recent factorization theory approach, where the linear multivariable control system design problem is translated into, and techniques efficiency solved as, a quadratic programming problem, which significantly improve the time and space of this method have been developed, making it practical to solve substantial multivariable design problems using only a microcomputer. The design system has been used by students at the University of Cape Town. Designs produced using the expert system tool are compared against those produced using classical design methods. 2015-11-08T04:44:14Z 2015-11-08T04:44:14Z 1991 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/14697 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Electronic Engineering Expert Systems Computer Aided Control System Design Linear Systems Multivariable Control Systems Matrix Fractions Quadratic Programming Tebbutt, Colin Dean Control system design using artificial intelligence |
| thesis_degree_str | Doctoral |
| title | Control system design using artificial intelligence |
| title_full | Control system design using artificial intelligence |
| title_fullStr | Control system design using artificial intelligence |
| title_full_unstemmed | Control system design using artificial intelligence |
| title_short | Control system design using artificial intelligence |
| title_sort | control system design using artificial intelligence |
| topic | Electrical Engineering Electronic Engineering Expert Systems Computer Aided Control System Design Linear Systems Multivariable Control Systems Matrix Fractions Quadratic Programming |
| url | http://hdl.handle.net/11427/14697 |
| work_keys_str_mv | AT tebbuttcolindean controlsystemdesignusingartificialintelligence |