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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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Main Author: Safaei, Ali
Format: Thesis
Language:English
Published: 2019
Subjects:
TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:http://eprints.usm.my/48222/1/Pages%20from%20usmthesis_Ali_19%20%2824%29.pdf
http://eprints.usm.my/48222/
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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
score 13.160551

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