LibHybrid for System Identification Toolbox
# libhybrid - A library for discretized Hybrid Dynamical Systems
This library implements an hybrid system in the form:
Flow map:
t'(k) = 1
j'(k) = 0
x'(t, j) = f(t, j, x(t, j), u(t, j) ,p)
for (t, j, x, u) in C
Jump map:
t(k + 1) = t(k)
j(k + 1) = j(k)
x(t, j + 1) = g(t, j, x(t, j), u(t, j), p)
for (t, j, x, u) in D
where:
* f is the flow map;
* g is the jump map;
* h is the output map;
* C is the flow set;
* D is the jump set.
* p are parameters.
* k is an engine time for the integration of t and j.
The flow map is discretized with a Runge Kutta 4 step. For the evolution of the system, both t and j are limited by horizons.
Cite As
Matteo Ragni (2024). LibHybrid for System Identification Toolbox (https://github.com/MatteoRagni/libhybrid), GitHub. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Acknowledgements
Inspired by: Hybrid Equations Toolbox
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
---|---|---|---|
1.1.0.0 | The example (bouncing_ball_example_m) shows how to use the library. The model is in bouncing_ball_example_c.c. The library now has a command (idnlhybrid) that allows to compile and prepare a model directly. |
|
|
1.0.0.0 |
|