MFAC | Model Free Adaptive Control Toolbox for Python

by shahind Python Version: 0.1.17 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | MFAC Summary

MFAC is a Python library. MFAC has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MFAC build file is not available. You can install using 'pip install MFAC' or download it from GitHub, PyPI.

Model Free Adaptive Control Toolbox for Python. This project aims to provide a simple and fast python package for model-free adaptive control. The package includes compact form dynamic linearization (CFDL), partial form dynamic linearization (PFDL) and full form dynamic linearization (FFDL) model free adaptive control methods both for SISO and MIMO systems.

Support

Quality

Security

License

Reuse

Support

MFAC has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

MFAC has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MFAC is 0.1.17

Quality

MFAC has no bugs reported.

Security

MFAC has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

MFAC is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

MFAC releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

MFAC has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MFAC

Get all kandi verified functions for this library.

MFAC Key Features

No Key Features are available at this moment for MFAC.

MFAC Examples and Code Snippets

No Code Snippets are available at this moment for MFAC.

Community Discussions

No Community Discussions are available at this moment for MFAC.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install MFAC

You can install using 'pip install MFAC' or download it from GitHub, PyPI.
You can use MFAC like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: