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Mattias Fält
Mattias Fält
Ph.D. Student
mattias.falt@control.lth.se
Phone: +46 46 222 08 47
Fax: +46 46 13 81 18

PhD student since 2015.

My main research interest is methods for large-scale convex optimization. The focus is on line-search methods and relaxed projection algorithms. I am working on devising new algorithms as well as improving existing ones. The work consists of both theoretical analysis and creation of a software package for illustration and easy use of the algorithms.

Publications

Mattias Fält, Pontus Giselsson: "Optimal Convergence Rates for Generalized Alternating Projections". 2016.

Mattias Fält, Pontus Giselsson: "Line search for generalized alternating projections". In: 2017 American Control Conference, ACC 2017 2017.

Pontus Giselsson, Mattias Fält, Stephen P. Boyd: "Line Search for Averaged Operator Iteration". In: Proceedings of the 55th IEEE Conference on Decision and Control, 2016.

Mattias Fält, Pontus Giselsson: "Line Search for Generalized Alternating Projections". 2016.

Pontus Giselsson, Mattias Fält, Stephen Boyd: "Line Search for Averaged Operator Iteration". 2016.

Vasumathi Raman, Mattias Fält, Tichakorn Wongpiromsarn, Richard M. Murray: "Online Horizon Selection in Receding Horizon Temporal Logic Planning". In: IEEE/RSJ International Conference on Intelligent Robots and Systems , 2015 2015.

Mattias Fält, Vasumathi Raman, Richard M. Murray: "Variable Elimination for Scalable Receding Horizon Temporal Logic Planning". In: American Control Conference, 2015 2015.

Mattias Fält, Lucas Jimbergsson: "Using ADMM for Hybrid System MPC". Master's Thesis ISRN LUTFD2/TFRT--5981--SE, Department of Automatic Control, Lund University, Sweden, June 2015.

Teaching 

Vt2017

Control Theory

Ht2016

Nonlinear Control and Servo Systems

Projects in Automatic Control

Vt2016

Mathematical Modelling, Advanced Course

Ht2015

Automatic Control, Basic Course for ED

Multivariable Control


Open source packages

 

Control systems toolbox for Julia ControlSystems.jl Documentation

Proximal Operators in julia: ProximalOperators.jl

First Order Solvers: FirstOrderSolvers.jl

Misc

PGP key: 477FE1B535DAB788