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Tools for building symbolic representations of nonlinear systems and numerically integrating them
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vlsd/nlsymb
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nlsymb
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nlsymb is a small collection of classes and functions that use and
extend the tools of `numpy` and `sympy` for use with nonlinear
dynamic systems that require somewhat intricate tensor algebra
between symbolic object. An example use is::
#!/usr/bin/env python
from nlsymb import aux
from nlsymb import object_einsum
from nlsymb import lqr
with nlsymb.Timer():
ref = aux.trajectory('x', 'u')
ref.addpoint(0, x=xinit, u=[1, 0])
ref.addpoint(2, x=[-6, -7, 0, 0], u=[0, 1])
ref.interpolate()
print "reference x at time %f is %f " % (1.34, ref.x(1.34))
Installation
============
Not implemented yet. For now just clone the repo and manually copy
things where they need to be or develop directly in this folder.
TODO
====
Make sure that flat_optim.py works as advertised (fixed some typos
but no time to check in depth). Also add a few benchmark trajectories
for it, like constant reference and control variations.
Write run_optim.py file that takes type of floor, initial point,
reference trajectory and cost functions as parameters/reads them from
a file.
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