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Marcus Thelander Andrén

About Me

Ph.D student at the department of Automatic Control since August 2015.

My field of research is event-based control and state estimation. I investigate optimization of event-trigger conditions for event-based estimation and control schemes in a stochastic setting. To sample and actuate optimally based on the current state of the process, rather than based on time, allows for a better performance and lower resource utilization than periodic schemes for the same average sampling rate.

You can find my personal page in Lund University's research portal here.

Research

Project

I am part of the project "Event-Based Control of Stochastic Systems with Application to Server Systems", funded by the Swedish research council.

 

Code

rbf-approx

Repository with demo code of the numerical method described in Thelander Andrén. "Using Radial Basis Functions to Approximate the LQG-Optimal Sampling Policy." ECC 2019.

Link: rbf-approx

optimal-trigger-bound

Repository with implementation of the numerical method described in Thelander Andrén et al. "On Event-Based Sampling for LQG-Optimal Control." CDC 2017.

Link: optimal-trigger-bound

 

 

Systems where the state vector is intermittently reset play a fundamental role in the study of event-based control and estimation. Above is a classic 1D example of an integrator, where the state is reset to the origin whenever it hits the boundaries. The plot shows the propagation of the state's probability density over time. The density starts out Gaussian, but converges to a triangular distribution.

Teaching

HT15

Automatic Control Basic Course

VT16

Automatic Control Basic Course

HT16

Multivariable Control

Projects in Automatic Control

VT17

Mathematical Modelling, Advanced Course

HT17

Automatic Control Basic Course at Beihang University

VT18

Real-Time Systems

HT18

Projects in Automatic Control

VT19

Mathematical Modelling, Advanced Course

Real-Time Systems

HT19

Multivariable Control

Contact

Office: 2156, M-building

E-mail: marcus@control.lth.se

Phone: +46 46 222 97 45