System Identification and Model-based Robust Nonlinear Disturbance Rejection Control.
Abstract
The robust disturbance rejection controller has been the subject of intensive research due to its undeniable importance for automation. Modern control theory tends to use model-based approaches versus model-free approaches, especially when it comes to highly modern applications. The backbone of the dissertation is based on the systematic modeling of dynamic systems and the development of advanced control methods. Accordingly, the dissertation...
Paper Details
Title
System Identification and Model-based Robust Nonlinear Disturbance Rejection Control.
Published Date
Jun 12, 2021
Journal
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Notes
History