Hans Joachim Ferreau

ABB (Switzerland), Institut national de recherche en sciences et technologies du numérique

Papers

Total Citations

122

H-Index

About

Hans Joachim Ferreau is a leading figure in the field of embedded optimization and model predictive control (MPC), with a particular focus on bridging the gap between advanced algorithms and real-time industrial and robotic applications. His seminal work on the implementation of MPC for on-line walking pattern generation in humanoid robots (60 citations) demonstrates his ability to solve complex, high-speed control problems, approximating multibody dynamics with linear discrete-time systems to enable stable, real-time locomotion. Ferreau’s broader contributions are encapsulated in his highly cited work on embedded optimization methods for industrial automatic control (62 citations), where he addresses the critical challenge of deploying optimization-based control on resource-constrained hardware. This research has been instrumental in extending the successful track record of MPC from traditional process industries into emerging embedded domains. By developing efficient quadratic programming solvers and real-time algorithms, Ferreau has enabled the practical implementation of sophisticated control strategies in applications ranging from autonomous vehicles to robotics. His work is distinguished by its rigorous theoretical foundation and direct industrial relevance, making him a key figure in the evolution of optimization-based control from theory to widespread practical deployment.