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Example Problems

hypersensitive_problem

The adaptive mesh scheme is demonstrated on a published hypersensitive optimal control problem.

planar_problem_multiphase

Move from (x,y) = (0 m, 0 m) to (4.0 m, 8.0 m), while avoiding an obstacle and passing through (3.5 m, 2.5 m).

control_sys_optimization

Flexibility of the object-oriented structure is demonsrated on a textbook control system gain optimization problem. Stability margin constraints are included.

Software used to devise these problems:

  • Python 3.7.1
  • Pyomo 5.6.1
  • Ipopt 3.12.4

License

License

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

Copyright

Copyright 2020 National Technology & Engineering Solutions of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights in this software.

Notice

For five (5) years from 10/27/2020 the United States Government is granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable worldwide license in this data to reproduce, prepare derivative works, and perform publicly and display publicly, by or on behalf of the Government. There is provision for the possible extension of the term of this license. Subsequent to that period or any extension granted, the United States Government is granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable worldwide license in this data to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so. The specific term of the license can be identified by inquiry made to National Technology and Engineering Solutions of Sandia, LLC or DOE.

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