Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems
In this thesis, a unified solution comprising model-free control and localization algorithms is presented to address the tracking problem in single-agent completely unknown nonlinear dynamic systems, the formation-tracking problem in multi-agent completely unknown nonlinear dynamic system, and the c...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://eprints.usm.my/48222/ http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf |
| _version_ | 1848881095022477312 |
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| author | Safaei, Ali |
| author_facet | Safaei, Ali |
| author_sort | Safaei, Ali |
| building | USM Institutional Repository |
| collection | Online Access |
| description | In this thesis, a unified solution comprising model-free control and localization algorithms is presented to address the tracking problem in single-agent completely unknown nonlinear dynamic systems, the formation-tracking problem in multi-agent completely unknown nonlinear dynamic system, and the cooperative localization problem for a team of mobile agents. The formulated model-free control algorithms, neither rely on the universal approximation characteristic of the artificial neural networks nor regressor-based approximation. |
| first_indexed | 2025-11-15T18:13:34Z |
| format | Thesis |
| id | usm-48222 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:13:34Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-482222021-02-01T02:44:54Z http://eprints.usm.my/48222/ Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems Safaei, Ali TK1-9971 Electrical engineering. Electronics. Nuclear engineering In this thesis, a unified solution comprising model-free control and localization algorithms is presented to address the tracking problem in single-agent completely unknown nonlinear dynamic systems, the formation-tracking problem in multi-agent completely unknown nonlinear dynamic system, and the cooperative localization problem for a team of mobile agents. The formulated model-free control algorithms, neither rely on the universal approximation characteristic of the artificial neural networks nor regressor-based approximation. 2019 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf Safaei, Ali (2019) Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Safaei, Ali Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems |
| title | Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems |
| title_full | Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems |
| title_fullStr | Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems |
| title_full_unstemmed | Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems |
| title_short | Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems |
| title_sort | adaptive model-free control and localization for single-agent and multi-agent nonlinear dynamic systems |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/48222/ http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf |