Not exactly but I am aware of Python code for nonlinear optimization algorithms. Check the nlpy project at http://nlpy.sf.net It is specifically targeted at finite-dimensional problems. However the current trend in optimal control algorithms is to use grid-refinement and iteratively solve finite-dimensional problems. You may thus find nlpy useful. The missing part is the collocation/discretization part. That may be available some place else.
Similarly, SciPy has some optimization algorithms ready for use but, as far as I know, nothing for control. Good luck, Dominique -- http://mail.python.org/mailman/listinfo/python-list
