nqlib


Namenqlib JSON
Version 0.5.1 PyPI version JSON
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home_pagehttps://github.com/knttnk/NQLib
SummaryNQLib: Library to design noise shaping quantizer for discrete-valued input control.
upload_time2023-09-19 05:51:16
maintainer
docs_urlNone
authorknttnk
requires_python>=3.8
license
keywords discrete-valued input control control theory quantizer control system design quantization simulation
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requirements No requirements were recorded.
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            # **Welcome to NQLib**
NQLib is a 
<a href="https://www.python.org/" target="_blank">Python</a>
library to design noise shaping quantizer for discrete-valued input control.

# **What can I do with NQLib?**
In the real world, a dynamic system may have to be controlled by discrete-valued signals due to the inclusion of actuators that are driven by ON/OFF or network with capacity limitations. In such a case, a good output may be obtained by converting continuous-valued input to discrete-valued input with a quantizer designed by NQLib.

## **Example**
See
<a href="https://colab.research.google.com/drive/1Ui-XqaTZCjwqRXC3ZeMeMCbPqGxK9YXO" target="_blank">here</a>.

# **Install**
You can install NQLib by using pip
```
pip install nqlib
```

or conda.
```
conda install -c conda-forge nqlib
```

# **References**
NQLib is a Python library version of
<a href="https://github.com/rmorita-jp/odqtoolbox" target="_blank">ODQ Toolbox</a>,
which were developed in
<a href="https://www.mathworks.com/products/matlab.html" target="_blank">MATLAB</a>.

The algorithms used in NQLib are based on the following paper.

- [1] S. Azuma and T. Sugie: Synthesis of optimal dynamic quantizers for discrete-valued input control;IEEE Transactions on Automatic Control, Vol. 53,pp. 2064–2075 (2008)

- [2] S. Azuma, Y. Minami and T. Sugie: Optimal dynamic quantizers for feedback control with discrete-level actuators; Journal of Dynamic Systems, Measurement, and Control, Vol. 133, No. 2, 021005 (2011)

- [3] 南,加嶋:システムの直列分解に基づく動的量子化器設計;計測自動制御学会論文集,Vol. 52, pp. 46–51(2016)

- [4] R. Morita, S. Azuma, Y. Minami and T. Sugie: Graphical design software for dynamic quantizers in control systems; SICE Journal of Control, Measurement, and System Integration, Vol. 4, No. 5, pp. 372-379 (2011)

- [5] Y. Minami and T. Muromaki: Differential evolution-based synthesis of dynamic quantizers with fixed-structures; International Journal of Computational Intelligence and Applications, Vol. 15, No. 2, 1650008 (2016)


# License
This software is released under the MIT License, see LICENSE.txt.

            

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