Greg Horn
Papers
1
Total Citations
3,693
H-Index
1
About
Greg Horn is a leading figure in computational optimization and control, best known as the principal developer of CasADi, a powerful open-source software framework for nonlinear optimization and optimal control. His seminal 2018 paper on CasADi, which has garnered over 3,600 citations, has become an essential tool for researchers and engineers tackling complex dynamic optimization problems in fields ranging from robotics and aerospace to chemical process control. Horn's contributions have fundamentally streamlined the implementation of direct multiple shooting and collocation methods, enabling efficient solutions for optimal control and model predictive control. Beyond this landmark work, his research spans algorithmic differentiation, numerical optimal control, and the integration of optimization with machine learning. Horn's impact is evident in the widespread adoption of CasADi across academia and industry, where it serves as a backbone for advanced control systems. His work continues to shape how practitioners approach nonlinear programming and real-time optimization, making sophisticated control techniques accessible to a broad community.
Research Focus
Key Achievements
Top Papers
- 1CasADi: a software framework for nonlinear optimization and optimal control3,693 citations · 2018