Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems
dc.contributor.author | Safaei, Ali | |
dc.date.accessioned | 2021-02-01T02:41:07Z | |
dc.date.available | 2021-02-01T02:41:07Z | |
dc.date.issued | 2019 | |
dc.description.abstract | 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. | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/11103 | |
dc.subject | Adaptive Model-Free | en_US |
dc.subject | Multi-Agent Nonlinear | en_US |
dc.title | Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems | en_US |
dc.type | Thesis | en_US |
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