LibHybrid for System Identification Toolbox

A wrapper for hybrid system simulation with MATLAB System Identification Toolbox
79 Descargas
Actualizado 18 ene 2018

# 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.

Citar como

Matteo Ragni (2024). LibHybrid for System Identification Toolbox (https://github.com/MatteoRagni/libhybrid), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2016b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Linear Model Identification en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: Hybrid Equations Toolbox

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Versión Publicado Notas de la versión
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

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.