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Achim Ilchmann


Telefon +49 (0) 3 677 69 3 623

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Ihre Position


7th Elgersburg School (March 1 - 7, 2015)

The school is on two topics of current interest in the field of systems and control theory and its applications. Each topic is presented by a leading expert in the field. In addition to the lectures there will be example classes. Participants will attend both courses.

Who can attend?
The school is open to international PhD and advanced undergraduate students from engineering sciences or mathematics. A background in systems and control theory or related fields will be required.

A limited number of scholarships will be available. These scholarships will in general cover the full travel and lodging expenses. Because of the restricted number of such scholarships, we ask that students preferentially use funds available at their home institutions.

Participants will attend both courses.

Arrival:      Sunday,   March 1, 2015
Departure: Saturday, March 7, 2015


Deadline for applications:   December 1, 2014
Please make sure that Achim Ilchmann receives a  short letter of recommondation
by email from your supervisor.



The workshop takes place in the Hotel "Am Wald" in Elgersburg (Thuringia).

The cost for the hotel including full board (evening March 1 - 7, 2015) is EUR 510,- for a single room and EUR 410,- for a double room per person.

The costs will be covered for participants receiving scholarships.

More detailed information about the hotel and about Elgersburg can be found at the following web pages:

"Hotel am Wald" Elgersburg



Linear Matrix Inequalities and Robust Control

Model Predictive Control

Suggested reading:

J.B. Rawlings and D.Q. Mayne.
Model Predictive Control: Theory and Design.
Nob Hill Publishing, Madison, 2009

L. Grüne and J. Pannek.
Nonlinear Model Predictive Control. Theory and Algorithms.
Springer-Verlag, London, 2011, DOI 10.1007/978-0-85729-501-9

Survey articles:

D.Q. Mayne, J.B. Rawlings, C.V. Rao, and P.O.M. Scokaert,
Constrained model predictive control: stability and optimality.
Automatica, 36(2000), pp. 789-814, DOI 10.1016/S0005-1098(99)00214-9

L. Grüne,
NMPC without terminal constraints, in: Proceedings of the IFAC Conference on Nonlinear Model Predictive Control 2012 (NMPC'12),
pp. 1-13, DOI 10.3182/20120823-5-NL-3013.00030

J.B. Rawlings, D. Angeli, C.N. Bates,
Fundamentals of economic model predictive control, 51st IEEE Conference on Decision and Control (CDC),
2012, pp. 3851-3861, DOI 10.1109/CDC.2012.6425822


Amin AghababaeiRuhr U Bochum
Klaus AlbertTU München
Behzad AzmiU Graz
Daniel BankmannTU Berlin
Thomas BergerU Hamburg
Lilli BergnerU Heidelberg
Felix BerkelTU Kaiserslautern
Alessandro CastagnottoTU München
Maria Cruz VaronaTU München
Christian DirscherlTU München
Vadym GidulianOdessa National Polytechnic U
Martin GlückU Stuttgart
Christian GrusslerU Lund
Morten HagdrupTU of Denmark
Christian HansTU Berlin
Andrii IlutsaOdessa National Polytechnic U
Leslie LebenTU Ilmenau
Arash MassoudiU Hamburg
Petar MlinaricMPI Magdeburg
Merlin MorlockTU Hamburg-Harburg
Luc MuhirwaTU Kaiserslautern
Philipp NiermeyerTU München
Nils PletschenTU München
Olaf Rendel U Hamburg
Sabrina RoggU Konstanz
Esteban RoseroTU Hamburg-Harburg
Carsten SchäferTU Darmstadt
Korbinian SchechnerTU München
Andreas SchmidtU Stuttgart
Tobias SprodowskiU Bremen
Felix SchwenningerU Twente
Michele TucciU degli Studi di Pavia
Raja VadamaluTU Darmstadt
Matthias VoigtTU Berlin
Philipp WittmüßU Stuttgart
Ke XuU Paderborn


  • Lars Grüne
    (U Bayreuth)

  • Carsten Scherer
    (U Stuttgart)

  • Siep Weiland
    (TU Eindhoven)


  • Marleen Stieler
    (U Bayreuth)





Achim Ilchmann 
  (TU Ilmenau)

Timo Reis
  (U Hamburg)

Fabian Wirth
  (Universität Passau)


March 2

March 3

March 4

March 5

March 6

08:30C. Scherer
S. Weiland

Linear Matrix Inequalities and Robust Control
L. Grüne

Model Predictive Control
C. Scherer
S. Weiland

Linear Matrix Inequalities and Robust Control
L. Grüne

Model Predictive Control
C. Scherer
S. Weiland
Linear Matrix Inequalities and Robust Control
10:00Coffee & Tea
10:30L. Grüne

Model Predictive Control
C. Scherer
S. Weiland
Linear Matrix Inequalities and Robust Control
L. Grüne

Model Predictive Control
C. Scherer
S. Weiland

Linear Matrix Inequalities and Robust Control

Model Predictive Control
14:30Work on ex. sheet LMIWork on ex. sheet MPC

Seminar "Classical Weimar-Germany about 1800"
by Ann Bünger

Guided tour through the Wittumspalais

Work on ex. sheet MPCWork on ex. sheet LMI
15:45Discussion ex. sheet LMIDiscussion ex. sheet MPCDiscussion ex. sheet MPCDiscussion ex. sheet LMI
16:45Coffee & TeaCoffee & Tea
17:15Work on ex. sheet MPCWork on ex. sheet LMIWork on ex. sheet LMIWork on ex. sheet MPC
18:30Discussion ex. sheet MPCDiscussion ex. sheet LMIDiscussion ex. sheet LMIDiscussion ex. sheet MPC


In addition, an e-mail of your supervisor is required including

  • Recommendation of the candidate for the summer school.
  • Declaration whether the candidate needs financial support.
  • A statement whether the candidate would be able to come if no financial support can be provided.

Please send this e-mail to Achim Ilchmann

Confirmation notice
The number of participants is strictly limited to 40 due to the size of the workshop hotel. If more than 40 registrations are received, the organizers will rank registrations according to expertise in systems and control and invite the first 40 of this list. Confirmation notices will be sent out before ...


At Elgerburg train station there will be a shuttle to the hotel available from 5 pm until 10.30 pm on Sunday. If you arrive later or earlier, then please give the hotel a ring: +49 - 3677 - 79800.

Elgersburg can be reached via local trains from Erfurt, which is connected to the German high speed train network.

Trains from Erfurt to Elgersburg (destination Ilmenau) run every hour.

The nearest airport is Leipzig, which has few international connections.

From the major airports in Frankfurt and Berlin, Erfurt can be reached by train in 2-3 hours.

Frankfurt has the advantage, that there are direct trains between the airport and Erfurt.