Gianluca Frison

Technical University of Denmark, University of Freiburg

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About

Gianluca Frison is a leading researcher in numerical optimization and optimal control, with a core focus on developing high-performance algorithms for real-time applications. His major contributions center on nonlinear model predictive control (NMPC) and efficient multi-phase optimal control, where he has pioneered computationally tractable formulations that bridge the gap between theoretical accuracy and practical online implementation. Frison is the principal architect of **acados**, an open-source software package that has become a benchmark for fast, embedded NMPC, enabling complex control strategies on resource-constrained hardware. His work on cable-robot-based motion simulators exemplifies his ability to translate advanced control theory into physical systems, achieving real-time trajectory tracking under demanding dynamic constraints. With over 27 citations on his most-cited paper and a growing portfolio of influential works, Frison’s impact is evident in both academic citations and industrial adoption. His 2025 paper on multi-phase optimal control problems further solidifies his reputation for solving the trade-off between model accuracy and computational speed. For students and researchers, Frison’s work represents the cutting edge of practical optimal control—where rigorous mathematics meets deployable, real-world performance.