Internal Workshop on Control, Estimation, Modeling and Optimization - Winter 2019

Monday, February 25, 2019, 9:00 - Wednesday, February 27, 2019, 17:00

Unihaus Schauinsland (Stohren 18 79244 Münstertal)

Preliminary Schedule:

 

  Monday 25 Tuesday 26 Wednesday 27 - AWE-Day
08:30
Meet and Greet with wake-up activity
Meet and Greet with wake-up activity
Meet and Greet with wake-up activity
08:45
09:00 Moritz Diehl: Introduction
Matrix exponential based solvers for linear sysems - Benjamin Stickan
Optimal control of Multi-Layer Multi-Kite Systems - Jochem De Schutter
09:15
Contraction of a Class of Optimality Tracking Algorithms for NMPC - Andrea Zanelli
09:30
09:45 follow-up discussion follow-up discussion
10:00 follow-up discussion coffee break coffee break
10:15 coffee break
Homotopy methods for OCPs with implicit switches - Armin Nurkanovic
An axi-symmetric multi-kite OCP - Rachel Leuthold
10:30
MHE current results & outlook - Fabian Girrbach
10:45
11:00 follow-up discussion follow-up discussion
11:15 follow-up discussion coffee break coffee break
11:30 coffee break
Stochastic MPC for PV battery systems - Arne Groß
The Unscented Kalman Filter for Pose Estimation - Christoph Sieg
11:45
Zero-order MHE - Katrin Baumgärtner
12:00
12:15 follow-up discussion follow-up discussion follow-up discussion
12:30
Lunch break
Lunch break
Lunch break
12:45
13:00
13:15
13:30
Periodic Optimal Control of a EDrive - Daniel
Social acitivity
Iterative Learning Control: Past, present and (near) future - Paul Daum
13:45
14:00 follow up discussion
14:15 follow-up discussion coffee break
14:30 coffee break
Rotation Compensation Rotorkite - Lukas Klein
14:45
Simulative comparison of a conventional and model-predictive control
scheme for a climate system with a large underground heat storage - Adrian Bürger
15:00 follow-up discussion
15:15 coffee break
15:30 follow-up discussion
Latest updates on rotorkite experiments design - Tommaso Sator
15:45 coffee break
16:00
Nonlinear Constraint Convexification and Continuous Time Constraint Satisfaction - Tobias Schoels
follow-up discussion
16:15 coffee break
16:30
Stochastic generalized Gauss Newton for training deep neural networks - Matilde Gargiani
Interfaces to High-level Languages - Gianluca Frison
16:45 follow-up discussion
17:00 coffee break follow-up discussion
17:15
Neural Network endavors or Tomlab SQP - Per Rutquist
follow-up discussion Moritz Diehl: Closing words
17:30 coffee break  
17:45 follow-up discussion
To be determined - Mikhail Katliar
 
18:00
Social Dinner
 
18:15 follow-up discussion  
18:30
Dinner
 
18:45  
19:00  
19:15 break
19:30 general
19:45 math & optimization
20:00 control theory
20:15
Moritz Diehl: Sequential Convex Programming (SCP) and Generalized Gauss-Newton (GGN)
estimation theory
20:30 application AWES
20:45 Modeling
21:00 application & hardware