PyAdvancedControl | Python codes for advanced control

by AtsushiSakai Python Version: Current License: MIT

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

kandi X-RAY | PyAdvancedControl Summary

PyAdvancedControl is a Python library. PyAdvancedControl has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However PyAdvancedControl build file is not available. You can download it from GitHub.

Python Codes for Advanced Control.

Support

Quality

Security

License

Reuse

Support

PyAdvancedControl has a low active ecosystem.

It has 436 star(s) with 158 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 42 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PyAdvancedControl is current.

Quality

PyAdvancedControl has 0 bugs and 191 code smells.

Security

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

PyAdvancedControl code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PyAdvancedControl 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

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

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

PyAdvancedControl saves you 1097 person hours of effort in developing the same functionality from scratch.

It has 2482 lines of code, 103 functions and 21 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed PyAdvancedControl and discovered the below as its top functions. This is intended to give you an instant insight into PyAdvancedControl implemented functionality, and help decide if they suit your requirements.

Test 8
Generate the equation matrix
R Compute the cosqp problem
Optimized Optimator
Plot lineal curve
Linearize a line model
Calculate the cost function of the input function
Run lq regulator
Calculate the LQr regulator
Compute the DlQr using the arimoto polynomial operator
Experimental test for testing
Optimized optimized implementation of opt_mpc
Visualize the robot
Convolutional polynomial
Calculates the distance from the refractive index
R Solve the LQR gate
Update the state
Test for test 2
Perform MPC control flow
Visualize cartesian coordinates
This function is used for testing
Runs the model predictive prediction
Test function for test prediction
Test 7
Test 3x3 test
Simulate the simulation

Get all kandi verified functions for this library.

PyAdvancedControl Key Features

No Key Features are available at this moment for PyAdvancedControl.

PyAdvancedControl Examples and Code Snippets

No Code Snippets are available at this moment for PyAdvancedControl.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install PyAdvancedControl

You can download it from GitHub.
You can use PyAdvancedControl 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 .

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