Das Team des IST
Dr.Ing.
Matthias A. Müller Senior Lecturer 


Phone  0049 711 68567750  
Fax  0049 711 68567735  
Room  3.240  
Email address  Link  
Address

University of Stuttgart Institute for Systems Theory and Automatic Control Pfaffenwaldring 9 70569 Stuttgart Germany 

Consultation  Monday, 12 pm 
Journal Articles
[22] F. D. Brunner, M. A. Müller and F. Allgöwer.
Enhancing Outputfeedback MPC with Setvalued Moving Horizon Estimation.
IEEE Transactions on Automatic Control, 2017, provisionally accepted.
[21] B. Houska and M. A. Müller.
Costtotravel functions: a new perspective on optimal and model predictive control.
Systems & Control Letters, vol. 106, pp.7986, 2017.
[20] M. A. Müller and K. Worthmann.
Quadratic costs do not always work in MPC.
Automatica, vol. 82, pp. 269277, 2017.
[19] M. A. Müller.
Nonlinear moving horizon estimation in the presence of bounded disturbances.
Automatica, vol. 79, pp. 306314, 2017.
[18] M. Lorenzen, M. A. Müller and F. Allgöwer.
Stochastic Model Predictive Control without Terminal Constraints.
International Journal of Robust and Nonlinear Control, 2017, to appear.
[17] F. A. Bayer, M. A. Müller and F. Allgöwer.
On optimal system operation in robust economic MPC.
Automatica, 2017, to appear.
[16] M. A. Müller and F. Allgöwer.
Economic and distributed model predictive control: recent developments in optimizationbased control.
SICE Journal of Control, Measurement, and System Integration, vol. 10, no. 2, pp.3952, March 2017. [Pdf]
[15] F. A. Bayer, M. Lorenzen, M. A. Müller and F. Allgöwer.
Robust Economic Model Predictive Control using Stochastic Information.
Automatica, vol. 74, pp. 151161, 2016.
[14] M. A. Müller and L. Grüne.
Economic model predictive control without terminal constraints for optimal periodic behavior.
Automatica, vol. 70, pp. 128139, 2016. [Preprint]
[13] L. Grüne and M. A. Müller.
On the relation between strict dissipativity and turnpike properties.
Systems & Control Letters, vol. 90, pp. 4553, 2016. [Preprint]
[12] M. A. Müller, D. Liberzon, and F. Allgöwer.
Normcontrollability of nonlinear systems.
IEEE Transactions on Automatic Control, vol. 60, no. 7, pp. 18251840, 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. 16711676, 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. 31003111, 2014.
[9] M. A. Müller, D. Angeli, and F. Allgöwer.
Transient average constraints in economic model predictive control.
Automatica, vol. 50, no. 11, pp. 29432950, 2014.
[8] M. A. Müller, D. Angeli, and F. Allgöwer.
On the performance of economic model predictive control with selftuning terminal cost.
Journal of Process Control, vol. 24, no. 8, pp. 11791186, 2014. Special Issue on Economic MPC.
[7] F. A. Bayer, M. A. Müller, and F. Allgöwer.
Tubebased Robust Economic Model Predictive Control.
Journal of Process Control, vol. 24, no. 8, pp. 12371246, 2014. Special Issue on Economic MPC.
[6] M. A. Müller, D. Angeli, and F. Allgöwer.
Economic model predictive control with selftuning terminal cost.
European Journal of Control, vol. 19, pp. 408416, 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 dwelltime.
Journal of Process Control, vol 22, no. 9, pp. 17021710, 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. 13761397, 2012. [Preprint]
[3] M. A. Müller, and D. Liberzon.
Input/outputtostate stability and statenorm estimators for switched nonlinear systems.
Automatica, vol. 48, no. 9, pp. 20292039, 2012.
[2] M. A. Müller, and A. D. DominguezGarcia.
Fault coverage modeling in nonlinear dynamical systems.
Automatica, vol. 48, no. 7, pp. 13721379, 2012.
[1] M. A. Müller, and F. Allgöwer.
Improving performance in model predictive control: Switching cost functionals under average dwelltime.
Automatica, vol. 48, no. 2, pp. 402409, 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.89100, 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 modelpredictive control.
In J. Lunze, editor, Control Theory of Digitally Networked Systems, Chapter 4, pp.111167, Springer Verlag, 2014.
PhD Thesis
M. A. Müller, Distributed and economic model predictive control: beyond setpoint stabilization.
Logos Verlag, Berlin, Germany, 2014. Available at [Logos Verlag]
Conference Proceedings (peerreviewed)
[35] M. A. Müller and L. Grüne.
On the relation between dissipativity and discounted dissipativity.
In Proc. of the 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, 2017, to appear.
[34] P. N. Köhler, M. A. Müller, and F. Allgöwer.
Transient performance of economic model predictive control with average constraints.
In Proc. of the 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, 2017, to appear.
[33] J. Köhler, M. A. Müller, N. Li, and F. Allgöwer.
Real Time Economic Dispatch for power networks: A Distributed Economic Model Predictive Control Perspective.
In Proc. of the 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, 2017, to appear.
[32] P. N. Köhler, M. A. Müller, J. Pannek, and F. Allgöwer.
On Exploitation of Supply Chain Properties by Sequential Distributed MPC.
In Proc. of the 20th IFAC World Congress, Toulouse, France, 2017, pp.82198224.
[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, pp.56365641.
[30] F. D. Brunner, M. A. Müller, and F. Allgöwer.
Enhancing Output Feedback MPC for Linear Discretetime Systems with Setvalued Moving Horizon Estimation.
In Proc. of the 55th IEEE Conference on Decision and Control (CDC), Las Vegas, USA, 2016, pp.27332738.
[29] F. A. Bayer, M. A. Müller, and F. Allgöwer.
Minmax 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.32103215.
[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.6570.
[27] M. A. Müller.
Nonlinear moving horizon estimation for systems with bounded disturbances.
In Proc. of the American Control Conference, Boston, USA, 2016, pp.883888. [Preprint]
[26] P. N. Köhler, M. A. Müller and F. Allgöwer.
A distributed economic MPC scheme for coordination of selfinterested systems.
In Proc. of the American Control Conference, Boston, USA, 2016, pp.889894.
[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.26022606.
[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.49464951. [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.110116. Semiplenary 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.411416.
[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.4449.
[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.10291034. [Preprint]
[19] F. A. Bayer, M. A. Müller, and F. Allgöwer.
Setbased Disturbance Attenuation in Economic Model Predictive Control.
In Proc. of the 19th IFAC World Congress, Cape Town, South Africa, 2014, pp.18981903.
[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.1200412009.
[17] M. A. Müller, D. Angeli, and F. Allgöwer.
Performance analysis of economic MPC with selftuning terminal cost.
In Proc. of the American Control Conference (ACC), Portland, USA, 2014, pp.28452850. [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.51195124. [Preprint]
[15] M. A. Müller, D. Liberzon, and F. Allgöwer.
Normcontrollability, 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.104109. Semiplenary paper. [Preprint]
[14] M. A. Müller, D. Angeli, and F. Allgöwer.
Economic model predictive control with selftuning terminal weight.
In Proc. of the European Control Conference (ECC), Zurich, Switzerland, 2013, pp.20442049. [Preprint]
[13] M. A. Müller, D. Angeli, and F. Allgöwer.
On convergence of averagely constrained economic MPC and necessity of dissipativity for optimal steadystate operation.
In Proc. of the American Control Conference (ACC), Washington D.C., USA, 2013, pp.31473152. [Preprint]
[12] M. A. Müller, and F. Allgöwer.
Robustness of steadystate 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 normcontrollability 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.412417.
[9] M. A. Müller, D. Liberzon, and F. Allgöwer.
On normcontrollability 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 TimeDelay 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 dwelltime.
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 timedomain simulation for automatic landing.
In Proc. of the AIAA Guidance, Navigation, and Control Conference, Portland, USA, 2011.
[4] M. A. Müller, and D. Liberzon.
Statenorm estimators for switched nonlinear systems under average dwelltime.
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/outputtostate 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. DominguezGarcia.
On InputtoState 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
 Einführung in die Regelungstechnik (Winter Term 14/15,15/16,17/17: Lecturer,
Winter Term 10/11,11/12,12/13,13/14: Overview Lecture "Control of a gantry crane")  Konzepte der Regelungstechnik (Winter Term 14/15,15/16,16/17: Lecturer)
 Model Predictive Control (Summer Term 11,12,13,14,15,16,17: Lecturer)
 Convex Optimization (Winter Term 10/11: Teaching Assistance)
 Modeling and analysis of membrane transporters in the thyroid pituitary feedback loop, Bachelor Thesis
 A SystemsTheoretic Analysis of Human Motor Control  Application to a SingleJoint Arm Model, Master Thesis
 Robust Model Predictive Control Approaches based on Gaussian Process Models, Master Thesis
 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, Master Thesis
 Reducing battery consumption of zone controllers in heating systems: a model predictive control approach, Master Thesis
 Model predictive control without terminal constraints for switched nonlinear systems, Master Thesis
 Economic MPC with selftuning terminal cost  a simulation case study, Student Thesis
 Distributed model predictive control for networks with timevarying communication topology, Master Thesis
 Robustifying a distributed MPC approach for cooperative control of dynamically decoupled systems, Bachelor Thesis
 Model predictive control of switched nonlinear systems  a CSTR case study, Student Thesis
since 02/2017  Senior lecturer ('Akademischer Oberrat') at the IST. 
12/2014  01/2017  Postdoctoral researcher and lecturer ('Akademischer Rat') at the IST. 
07/2014  PhD in mechanical engineering, University of Stuttgart, Germany. Supervisor: Frank Allgöwer

05/201208/2012  Visiting researcher at the Imperial College, London, UK (working with David Angeli). 
01/2010  11/2014  Research and teaching assistant at the IST. 
12/2009  Diploma in Engineering Cybernetics, University of Stuttgart, Germany. 
09/200912/2009  Internship at the EADS Astrium GmbH, Friedrichshafen, Germany. 
08/2009  M.S. in Electrical and Computer Engineering, University of Illinois at UrbanaChampaign (UIUC). 
08/200807/2009  Studies in Decision and Control at the Coordinated Science Laboratory (CSL) and the Department of Electrical and Computer Engineering (ECE), University of Illinois at UrbanaChampaign (UIUC), USA. Supervisor: Daniel Liberzon. Fulbright fellow. 
20042009  Studies in Engineering Cybernetics at the University of Stuttgart , Germany.

2004  Abitur (University entrance qualification) at JohannesKeplerGymnasium in Stuttgart BadCannstatt, Germany. 