Tsipor (bird) Dynamics (c4dynamics) is the open-source framework of algorithms development for objects in space and time.

Documentation

c4dynamics is designed to simplify the development of algorithms for dynamic systems, using state space representations. It offers engineers and researchers a systematic approach to model, simulate, and control systems in fields like robotics, aerospace, and navigation.

The framework introduces state objects, which are foundational data structures that encapsulate state vectors and provide the tools for managing data, simulating system behavior, and analyzing results.

With integrated modules for sensors, detectors, and filters, c4dynamics accelerates algorithm development while maintaining flexibility and scalability.

• PIP

>>> pip install c4dynamics

PyPi

• GitHub

To run the latest GitHub version, download c4dynamics

Install required packages:

>>> pip install -r requirements.txt

Import c4dynamics:

>>> import c4dynamics as c4d

Define state space object of two variables in the state space (y, vy) with initial conditions (change the state with your variables):

>>> s = c4d.state(y = 1, vy = 0.5)

Multiply the state vector by a matrix and store:

>>> F = [[1, 1],                      
         [0, 1]]              
>>> s.X += F @ s.X                     
>>> s.store(t = 1)                    

Print the state variables, the state vector, and the stored data:

>>> print(s)  
[ y  vy ]
>>> s.X 
[2.5  1]
>>> s.data('y') 
([0,  1], [1,  2.5])

• Complete state space objects mechanism
• Seeker and radar measurements
• Kalman filter and Extended Kalman filter
• YOLOv3 object detection API
• Datasets fetching to run examples
• Documentation