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Validation of a lyapunov deep learning algorithm for an inverted pendulum cart system

Dötsch, Kristan (2021) Validation of a lyapunov deep learning algorithm for an inverted pendulum cart system. Integration Project, Industrial Engineering and Management.

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Abstract

In the study of nonlinear system stability, a deep learning algorithm was constructed in order to enlarge a system’s stability region. Previous study has shown that the deep learning algorithm in [2] was able to enlarge the stability region for a nonlinear system consisting of two state variables. This study is about the implementation of a nonlinear system, consisting of four state variables, into the deep learning algorithm in order to enlarge the stability region. The inability of the deep learning algorithm to enlarge the stability region of a system consisting of four state variables is discussed. The study is finalized with a recommendation for further research.

Item Type: Thesis (Integration Project)
Supervisor name: Jayawardhana, B. and Munoz Arias, M.
Degree programme: Industrial Engineering and Management
Thesis type: Integration Project
Language: English
Date Deposited: 11 Jun 2021 11:24
Last Modified: 11 Jun 2021 11:24
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/24541

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