Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems

dc.contributor.authorSafaei, Ali
dc.date.accessioned2021-02-01T02:41:07Z
dc.date.available2021-02-01T02:41:07Z
dc.date.issued2019
dc.description.abstractIn 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.urihttp://hdl.handle.net/123456789/11103
dc.subjectAdaptive Model-Freeen_US
dc.subjectMulti-Agent Nonlinearen_US
dc.titleAdaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systemsen_US
dc.typeThesisen_US
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