Kooperationen

SimTech4c

csblogo

SR3C-Logo

 

Das Team des IST

Herr Dr.-Ing.
Matthias A. Müller
Akademischer Oberrat

Dieses Bild zeigt  Matthias A. Müller
Telefon0049 711 685-67750
Telefax0049 711 685-67735
Raum3.240
E-Mail
Adresse
Universität Stuttgart
Institut für Systemtheorie und Regelungstechnik
Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Sprechstunde

Montag, 13:00 - 14:00 Uhr

Profil:

PhD Thesis

M. A. Müller, Distributed and economic model predictive control: beyond setpoint stabilization.
Logos Verlag, Berlin, Germany, 2014. Available at [Logos Verlag]

   

Journal Articles

[18] M. A. Müller and F. Allgöwer.
Economic and distributed model predictive control: recent developments in optimization-based control.
SICE Journal of Control, Measurement, and System Integration, vol. 10, no. 2, pp.39-52, March 2017. [Pdf]  

[17] M. A. Müller and K. Worthmann.
Quadratic costs do not always work in MPC.
Automatica, 2017, to appear.

[16] M. A. Müller.
Nonlinear moving horizon estimation in the presence of bounded disturbances.
Automatica, vol. 79, pp. 306-314, 2017.

[15] F. A. Bayer, M. Lorenzen, M. A. Müller and F. Allgöwer.
Robust Economic Model Predictive Control using Stochastic Information.
Automatica, vol. 74, pp. 151-161, 2016.

[14] M. A. Müller and L. Grüne.
Economic model predictive control without terminal constraints for optimal periodic behavior.
Automatica, vol. 70, pp. 128-139, 2016. [Preprint]

[13] L. Grüne and M. A. Müller.
On the relation between strict dissipativity and turnpike properties.
Systems & Control Letters, vol. 90, pp. 45-53, 2016. [Preprint]

[12] M. A. Müller, D. Liberzon, and F. Allgöwer.
Norm-controllability of nonlinear systems.
IEEE Transactions on Automatic Control, vol. 60, no. 7, pp. 1825-1840, 2015.

[11] M. A. Müller, D. Angeli, and F. Allgöwer.
On necessity and robustness of dissipativity in economic model predictive control.
IEEE Transactions on Automatic Control, vol. 60, no. 6, pp. 1671-1676, 2015. [Preprint]
Available online at [IEEE Xplore]. See also the following [Technical Report] including proofs and additional material.

[10] M. A. Müller, D. Angeli, F. Allgöwer, R. Amrit, and J. B. Rawlings.
Convergence in economic model predictive control with average constraints.
Automatica, vol. 50, no. 12, pp. 3100-3111, 2014.

[9] M. A. Müller, D. Angeli, and F. Allgöwer.
Transient average constraints in economic model predictive control.
Automatica, vol. 50, no. 11, pp. 2943-2950, 2014.

[8] M. A. Müller, D. Angeli, and F. Allgöwer.
On the performance of economic model predictive control with self-tuning terminal cost.
Journal of Process Control, vol. 24, no. 8, pp. 1179-1186, 2014. Special Issue on Economic MPC.

[7] F. A. Bayer, M. A. Müller, and F. Allgöwer.
Tube-based Robust Economic Model Predictive Control.
Journal of Process Control, vol. 24, no. 8, pp. 1237-1246, 2014. Special Issue on Economic MPC.

[6] M. A. Müller, D. Angeli, and F. Allgöwer.
Economic model predictive control with self-tuning terminal cost.
European Journal of Control, vol. 19, pp. 408-416, 2013. Special Issue for ECC 2013. [Preprint]

[5] M. A. Müller, P. Martius, and F. Allgöwer.
Model predictive control of switched nonlinear systems under average dwell-time.
Journal of Process Control, vol 22, no. 9, pp. 1702-1710, 2012. [Preprint]

[4] M. A. Müller, M. Reble, and F. Allgöwer.
Cooperative control of dynamically decoupled systems via distributed model predictive control.
Int. J. Robust Nonlinear Control, vol. 22, no. 12, pp. 1376-1397, 2012. [Preprint]

[3] M. A. Müller, and D. Liberzon.
Input/output-to-state stability and state-norm estimators for switched nonlinear systems.
Automatica, vol. 48, no. 9, pp. 2029-2039, 2012.

[2] M. A. Müller, and A. D. Dominguez-Garcia.
Fault coverage modeling in nonlinear dynamical systems.
Automatica, vol. 48, no. 7, pp. 1372-1379, 2012.

[1] M. A. Müller, and F. Allgöwer.
Improving performance in model predictive control: Switching cost functionals under average dwell-time.
Automatica, vol. 48, no. 2, pp. 402-409, 2012.

Book chapters

[2] M. A. Müller, and F. Allgöwer.
Distributed MPC for consensus and synchronization.
In J. M. Maestre, R. Negenborn, editors, Distributed MPC Made Easy, Chapter 5, pp.89-100, Springer Verlag, 2014.

[1] L. Grüne, F. Allgöwer, R. Findeisen, J. Fischer, D. Groß, U. D. Hanebeck, B. Kern, M. A. Müller, J. Pannek, M. Reble, O. Stursberg, P. Varutti, and K. Worthmann.
Distributed and networked model-predictive control.
In J. Lunze, editor, Control Theory of Digitally Networked Systems, Chapter 4, pp.111-167, Springer Verlag, 2014.

Conference Proceedings (peer-reviewed)

[32] P. N. Köhler, M. A. Müller and F. Allgöwer.
On Exploitation of Supply Chain Properties by Sequential Distributed MPC.
In Proc. of the 20th IFAC World Congress, Toulouse, France, 2017, to appear.

[31] M. Lorenzen, M. A. Müller and F. Allgöwer.
Stabilizing Stochastic MPC without Terminal Constraints.
In Proc. of the American Control Conference (ACC), Seattle, USA, 2017, to appear.

[30] F. D. Brunner, M. A. Müller, and F. Allgöwer.
Enhancing Output Feedback MPC for Linear Discrete-time Systems with Set-valued Moving Horizon Estimation.

In Proc. of the 55th IEEE Conference on Decision and Control (CDC), Las Vegas, USA, 2016, pp.2733-2738.

[29] F. A. Bayer, M. A. Müller, and F. Allgöwer.
Min-max Economic Model Predictive Control Approaches with Guaranteed Performance.

In Proc. of the 55th IEEE Conference on Decision and Control (CDC), Las Vegas, USA, 2016, pp.3210-3215.

[28] S. Knüfer, M. A. Müller, and F. Allgöwer.
Stabilizing model predictive control without terminal constraints for switched nonlinear systems
.
In Proc. of the 10th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Monterey, USA, 2016, pp.65-70.

[27] M. A. Müller.
Nonlinear moving horizon estimation for systems with bounded disturbances
.
In Proc. of the American Control Conference, Boston, USA, 2016, pp.883-888. [Preprint]

[26] P. N. Köhler, M. A. Müller and F. Allgöwer.
A distributed economic MPC scheme for coordination of self-interested systems.
In Proc. of the American Control Conference, Boston, USA, 2016, pp.889-894.

[25] E. Aydiner, M. A. Müller and F. Allgöwer.
Periodic Reference Tracking for Nonlinear Systems via Model Predictive Control.
In Proc. of the European Control Conference, Aalborg, Denmark, 2016, pp.2602-2606.

[24] M. A. Müller and L. Grüne.
Economic model predictive control without terminal constraints: optimal periodic operation.
In Proc. of the 54th IEEE Conference on Decision and Control (CDC), Osaka, Japan, 2015, pp.4946-4951. [Preprint]

[23] M. A. Müller, L. Grüne, and F. Allgöwer.
On the role of dissipativity in economic model predictive control.
In Proc. of the 5th IFAC Conference on Nonlinear Model Predictive Control, Seville, Spain, 2015, pp.110-116. Semi-plenary paper. [Preprint]

[22] F. A. Bayer, M. Lorenzen, M. A. Müller, and F. Allgöwer.
Improving Performance in Robust Economic MPC Using Stochastic Information.
In Proc. of the 5th IFAC Conference on Nonlinear Model Predictive Control, Seville, Spain, 2015, pp.411-416.

[21] F. A. Bayer, M. A. Müller, and F. Allgöwer.
Average Constraints in Robust Economic Model Predictive Control.
In Proc. of the 9th International Symposium on Advanced Control of Chemical Processes (ADCHEM), Whistler, Canada, 2015, pp.44-49.

[20] M. A. Müller, and F. Allgöwer.
Distributed economic MPC: a framework for cooperative control problems.
In Proc. of the 19th IFAC World Congress, Cape Town, South Africa, 2014, pp.1029-1034. [Preprint]

[19] F. A. Bayer, M. A. Müller, and F. Allgöwer.
Set-based Disturbance Attenuation in Economic Model Predictive Control.
In Proc. of the 19th IFAC World Congress, Cape Town, South Africa, 2014, pp.1898-1903.

[18] R. M. Schaich, M. A. Müller, and F. Allgöwer.
A distributed model predictive control scheme for networks with communication failure.
In Proc. of the 19th IFAC World Congress, Cape Town, South Africa, 2014, pp.12004-12009.

[17] M. A. Müller, D. Angeli, and F. Allgöwer.
Performance analysis of economic MPC with self-tuning terminal cost.
In Proc. of the American Control Conference (ACC), Portland, USA, 2014, pp.2845-2850. [Preprint]

[16] M. A. Müller, D. Angeli, and F. Allgöwer.
Economic model predictive control with transient average constraints.
In Proc. of the 52nd IEEE Conference on Decision and Control (CDC), Florence, Italy, 2013, pp.5119-5124. [Preprint]

[15] M. A. Müller, D. Liberzon, and F. Allgöwer.
Norm-controllability, or how a nonlinear system responds to large inputs.
In Proc. of the 9th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Toulouse, France, 2013, pp.104-109. Semi-plenary paper. [Preprint]

[14] M. A. Müller, D. Angeli, and F. Allgöwer.
Economic model predictive control with self-tuning terminal weight.
In Proc. of the European Control Conference (ECC), Zurich, Switzerland, 2013, pp.2044-2049. [Preprint]

[13] M. A. Müller, D. Angeli, and F. Allgöwer.
On convergence of averagely constrained economic MPC and necessity of dissipativity for optimal steady-state operation.
In Proc. of the American Control Conference (ACC), Washington D.C., USA, 2013, pp.3147-3152. [Preprint]

[12] M. A. Müller, and F. Allgöwer.
Robustness of steady-state optimality in economic model predictive control.
In Proc. of the 51st IEEE Conference on Decision and Control (CDC), Maui, USA, 2012, pp.1011 - 1016. [Longer Preprint Version]

[11] M. A. Müller, D. Liberzon, and F. Allgöwer.
Relaxed conditions for norm-controllability of nonlinear systems.
In Proc. of the 51st IEEE Conference on Decision and Control (CDC), Maui, USA, 2012, pp.314 - 319.

[10] M. A. Müller, B. Schürmann, and F. Allgöwer.
Robust cooperative control of dynamically decoupled systems via distributed MPC.
In Proc. of the IFAC Conference on Nonlinear Model Predictive Control, Noordwijkerhout, the Netherlands, 2012, pp.412-417.

[9] M. A. Müller, D. Liberzon, and F. Allgöwer.
On norm-controllability of nonlinear systems.
In Proc. of the 50th IEEE Conference on Decision and Control (CDC), Orlando, USA, 2011, pp.1741 - 1746.

[8] M. Reble, M. A. Müller, and F. Allgöwer.
Unconstrained Model Predictive Control and Suboptimality Estimates for Nonlinear Time-Delay Systems.
In Proc. of the 50th IEEE Conference on Decision and Control (CDC), Orlando, USA, 2011, pp.7599 - 7604.

[7] M. A. Müller, M. Reble, and F. Allgöwer.
A general distributed MPC framework for cooperative control.
In Proc. of the 18th IFAC World Congress, Milano, Italy, 2011, pp.7987 - 7992.

[6] M. A. Müller, and F. Allgöwer.
Model predictive control of switched nonlinear systems under average dwell-time.
In Proc. of the American Control Conference (ACC), San Francisco, USA, 2011, pp.5169 - 5174.

[5] A. Joos, M. A. Müller, D. Baumgärtner, W. Fichter, and F. Allgöwer.
Nonlinear predictive control based on time-domain simulation for automatic landing.
In Proc. of the AIAA Guidance, Navigation, and Control Conference, Portland, USA, 2011.

[4] M. A. Müller, and D. Liberzon.
State-norm estimators for switched nonlinear systems under average dwell-time.
In Proc. of the 49th IEEE Conference on Decision and Control (CDC), Atlanta, USA, 2010, pp.1275 - 1280.

[3] M. A. Müller, and D. Liberzon.
Input/output-to-state stability of switched nonlinear systems.
In Proc. of the American Control Conference (ACC), Baltimore, USA, 2010, pp.1708 - 1712.

[2] M. A. Müller, and A. D. Dominguez-Garcia.
On Input-to-State Stability Notions for Reachability Analysis of Power Systems.
In Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS), Paris, France, 2010.

[1] M. A. Müller, S. Waldherr, and F. Allgöwer.
The transcritical bifurcation in absolutely stable feedback systems.
In Proc. of the European Control Conference (ECC), Budapest, Hungary, 2009, pp.2146 - 215

Vorlesungen Betreuung studentischer Arbeiten
  • Distributed economic model predictive control under inexact minimization with application to power systems, Master Thesis
  • Robuste Regelung eines elektrischen Antriebs unter Berücksichtigung der unsicheren Antriebsstrangdynamik, Masterarbeit
  • Reducing battery consumption of zone controllers in heating systems: a model predictive control approach, Masterarbeit
  • Model predictive control without terminal constraints for switched nonlinear systems, Masterarbeit
  • Economic MPC with self-tuning terminal cost - a simulation case study, Studienarbeit
  • Distributed model predictive control for networks with time-varying communication topology, Masterarbeit
  • Robustifying a distributed MPC approach for cooperative control of dynamically decoupled systems, Bachelorarbeit
  • Model predictive control of switched nonlinear systems - a CSTR case study, Studienarbeit
 
seit 02/2017 Akademischer Oberrat am IST.
12/2014-01/2017 Akademischer Rat am IST.
07/2014 Promotion (Dr.-Ing.), Universität Stuttgart, Deutschland.
Betreuer: Frank Allgöwer
  • Titel der Dissertation: "Distributed and economic model predictive control:
    beyond setpoint stabilization"
05/2012-08/2012 Gastwissenschaftler am Imperial College, London, UK;
Zusammenarbeit mit David Angeli.
01/2010 - 11/2014 Wissenschaftlicher Mitarbeiter am IST.
12/2009 Diplom in Technischer Kybernetik, Universität Stuttgart, Deutschland.
09/2009-12/2009 Industriepraktikum bei der EADS Astrium GmbH, Friedrichshafen, Deutschland.
08/2009 M.S. in Electrical and Computer Engineering,
University of Illinois at Urbana-Champaign (UIUC).
08/2008-07/2009 Studium am Coordinated Science Laboratory (CSL) und dem
Department of Electrical and Computer Engineering (ECE),
University of Illinois at Urbana-Champaign (UIUC), USA.
Betreuer: Daniel Liberzon.
Fulbright-Stipendiat.
2004-2009 Studium der Technischen Kybernetik an der Universität Stuttgart, Deutschland.
  • Diplomarbeit:
    "Input-to-state stability and related concepts for switched systems and
    fault coverage"
  • Studienarbeit:
    "Analysis of dynamical behaviour in singularly perturbed Lure systems"
2004 Abitur am Johannes-Kepler-Gymnasium in Stuttgart Bad-Cannstatt, Deutschland.