Adaptive Model-Free Control And Localization For Single-Agent And Multi-Agent Nonlinear Dynamic Systems
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Date
2019
Authors
Safaei, Ali
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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.
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Keywords
Adaptive Model-Free , Multi-Agent Nonlinear