User Guide#
tdcpy provides an interface for modeling LTI time-delay systems, supporting systems of retarded type,
neutral type and delay descriptor systems. Next to modeling, tdcpy offers functionalities for spectral analysis,
and controller design.
tdcpy is based on the TDS-Control MATLAB toolbox, developed and published by Pieter Appeltans and Wim Michiels in KU Leuven [Appeltans and Michiels, 2023].
Users already familiar with TDS-Control will find the basic functionality similar.
tdcpy additionally utilizes the Python libraries NumPy for arrays and array operations, Scipy for scientific computations and Matplotlib for plotting.
The user is required to have some basic familiarity with these packages when using tdcpy.
Organization#
tdcpy is organized in several subpackages, each providing a specific set of functionalities.
The main subpackages are:
Core data structures and functions |
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Functions for stability analysis |
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Visualization tools |
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Tools for stabilization and controller design |
Besides these subpackages, several high-level modules are provided for direct usage:
Base classes and functions |
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Functions for modeling the closed-loop. |
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Functions for controller design. |
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Functions for modeling DAEs. |
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Functions for modeling DDAEs. |
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Functions for computing gamma_r. |
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Functions for modeling neutral TDS. |
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Function for computing the characteristic roots. |
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Functions for computing the spectral abscissa and strong spectral abscissa. |
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Functions for computing the transmission zeros. |
Kindly refer to the individual sections for more details on each of these subpackages and modules.
Quick-start#
The following sections will guide you through the basic functionalities of tdcpy.