ORCID ID
Jason Moore (0000-0002-8698-6143), Antonie van Bogert (0000-0002-3791-3749)
Document Type
Article
Publication Date
1-30-2018
Publication Title
Journal of Open Source Software
Abstract
opty is a tool for describing and solving trajectory optimization and parameter identification problems based on symbolic descriptions of ordinary differential equations and differential algebraic equations that describe a dynamical system. The motivation for its development resides in the need to solve optimal control problems of biomechanical systems. The target audience is engineers and scientists interested in solving nonlinear optimal control and parameter identification problems with minimal computational overhead.
Recommended Citation
Moore, Jason K. and van den Bogert, Antonie J., "opty: Software for Trajectory Optimization and Parameter Identification Using Direct Collocation" (2018). Mechanical Engineering Faculty Publications. 370.
https://engagedscholarship.csuohio.edu/enme_facpub/370
DOI
10.21105/joss.00300
Version
Publisher's PDF
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
