Obligatory mention to Openmodelica[1] which is an open source implementation based on the Modelica language. While I haven't used it yet, I was planning on exploring some of the features this holiday. [1] https://openmodelica.org/
model lorenz_attractor:
state:
x real = 1
y real = 1
z real = 1
equations:
x' = sigma * (y - x) / s
y' = (x * (rho - z) - y) / s
z' = (x * y - beta * z) / s
update:
integrate_odes()
parameters:
sigma real = 10
beta real = 8/3
rho real = 28
For events, there are constructs like "onReceive(in_port_name)" and "emit_spike()" (nomenclature there being clearly somewhat influenced from our neuroscience application domain).It's still a work in progress, but we already have some cool applications, like a spiking neural network that learns and then replays sequences (https://nestml.readthedocs.io/en/latest/tutorials/sequence_l...).
I was frankly surprised that something like this did not already exist when I started development on NESTML. Modelica is similar, but does not seem to have support for discrete events. I realise all of this is a shameless plug ;) but in actuality we are of course very happy to receive comments and feedback! All development is out in the open on GitHub and it is GPL licensed. If someone knows of similar DSLs, I would be very happy to read your comments. Cheers!