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

License: BSD 3-Clause "New" or "Revised" License

MATLAB 100.00%
optimal-control dt-qp trajectory-optimization pseudospectral optimization-and-control optimization direct-transcription single-step-methods time-marching-methods matlab linear-quadratic-dynamic dynamic-optimization numerical-methods

dt-qp-project's Introduction

README (dt-qp-project)

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

readme_image.svg


Install

  • Download the DT QP Project
  • Run INSTALL_DTQP.m to automatically add the project files to your MATLAB path, download the required files, and open an example
INSTALL_DTQP
  • See DTQP_template.m for some examples illustrating how to implement different linear-quadratic dynamic optimization (LQDO) problem elements using the structure-based syntax of the DT QP Project
help DTQP_template
  • See BrysonHo166.m for an example with problem setup and options
open BrysonHo166

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

External Includes

See INSTALL_DTQP.m for more information.


General Information

Contributors

Project Links

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