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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf http://eprints.usm.my/48222/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Sains Malaysia |
| Language: | English |
| id |
my.usm.eprints.48222 |
|---|---|
| record_format |
eprints |
| spelling |
my.usm.eprints.48222 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. |
| institution |
Universiti Sains Malaysia |
| building |
Hamzah Sendut Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Sains Malaysia |
| content_source |
USM Institutional Repository |
| url_provider |
http://eprints.usm.my/ |
| language |
English |
| topic |
TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| 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 |
| 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. |
| format |
Thesis |
| author |
Safaei, Ali |
| author_facet |
Safaei, Ali |
| author_sort |
Safaei, Ali |
| title |
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_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_sort |
adaptive model-free control and localization for single-agent and multi-agent nonlinear dynamic systems |
| publishDate |
2019 |
| url |
http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf http://eprints.usm.my/48222/ |
| _version_ |
1691733872164732928 |