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University of Illinois at Urbana-Champaign
- Champaign, IL
Generate the set of unique useful architectures with a perfect matching-based approach.
This project implements multiple-interval pseudospectral methods to solve optimal control problems.
This project solves linear-quadratic dynamic optimization (LQDO) problems using direct transcription (DT) and quadratic programming (QP)
Teaching examples for three direct methods for solving optimal control problems namely single shooting, single step, and pseudospectral.
Forked from ld4mbse/oslc-adapter-simulink
Java-based Implementation of OSLC Simulink Adapter