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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2019
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| id |
my-usm-ep.48222 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-usm-ep.482222021-02-01T02:44:54Z Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems 2019 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 http://eprints.usm.my/48222/ http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik & Elektronik |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| 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 |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| 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 |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Kejuruteraan Elektrik & Elektronik |
| publishDate |
2019 |
| url |
http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf |
| _version_ |
1747821905259266048 |