README (dt-qp-project)

This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)

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Citation

Please cite the following two items if you use the DT QP Project:

• DR Herber. Advances in Combined Architecture, Plant, and Control Design. PhD Dissertation, University of Illinois at Urbana-Champaign, Urbana, IL, USA, Dec. 2017. [bibtex] [pdf]
  • Discusses the theory behind this project and contains a number of examples comparing the different methods.
• DR Herber, YH Lee, JT Allison. DT QP Project, GitHub. url: https://github.com/danielrherber/dt-qp-project

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General Information

This is a limited implementation of the DTQP in python to solve strictly linear-quadratic dynamic optimizations problems on simple equi-distant mesh. Unlike DTQP, DTQPy has only the composite trapezoidal (CTR) method implemented for transcribing the objective function, and the dynamic constraints. Additionally, no mesh-refinement feature has been implemented.

Contributors

• Athul K. Sundarrajan
• John Jasa
• Daniel Zalkind
• Daniel R. Herber (primary)