Welcome to NQLib

NQLib is a Python 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 here.

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 ODQ Toolbox, which were developed in MATLAB.

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.