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2020 – today
- 2024
[c38]David Müller, Kevin Weinberger, Raphael Dyrska, Aydin Sezgin, Martin Mönnigmann:
Assessing EKF-based Orientation Uncertainties and its Impact on the Channels of UAV-mounted RIS. VTC Fall 2024: 1-5- 2023
- [j27]Ruth Mitze, Michal Kvasnica, Martin Mönnigmann:
Exploiting symmetries in active set enumeration for constrained linear-quadratic optimal control. Autom. 151: 110900 (2023) - [c37]Sebastian Leonow, Raphael Dyrska, Martin Mönnigmann:
Embedded Implementation of a Neural Network emulating Nonlinear MPC in a process control application*. ECC 2023: 1-6 - [c36]Kevin Weinberger, Simon Tewes, Jens Müller, Raphael Dyrska, Martin Mönnigmann, Aydin Sezgin:
Flying Intelligent Surfaces: Joint Adjustment of Position and Configuration for UAV-Mounted RIS. VTC2023-Spring 2023: 1-5 - 2022
- [c35]Ruth Mitze, Martin Mönnigmann:
Improved active set dynamic programming for solving linear-quadratic optimal control problems. CDC 2022: 1764-1769 - [c34]Sebastian Leonow, Martin Mönnigmann:
Secure collaborative control on lean embedded hardware. CDC 2022: 2917-2922 - [c33]Raphael Dyrska, Martin Mönnigmann:
Simplified Nonlinear Programs for NMPC Based on Active Set Construction. CDC 2022: 3699-3704 - [i4]Kamil David Sommer, Lucas Reineking, Yogesh Parry Ravichandran, Romuald Skoda, Martin Mönnigmann:
Estimating flow fields with Reduced Order Models of Centrifugal Pumps. CoRR abs/2202.05736 (2022) - 2021
- [j26]Marc Oliver Berner, Martin Mönnigmann:
Comparison of two model reduction approaches of an industrial drying process. Autom. 69(8): 667-682 (2021) - [c32]Kamil Kwoska, Patrik Berner, Martin Mönnigmann:
Reducing the Number of Optimization Problems in Trajectory Tracking Model Predictive Control. ECC 2021: 614-619 - [c31]Raphael Dyrska, Ruth Mitze, Martin Mönnigmann:
Regional Control Laws as Fallback Strategy for Nonlinear MPC: Application to Wind Turbine Control *. ECC 2021: 1531-1536 - [i3]Timm Faulwasser, Sergio Lucia, Moritz Schulze Darup, Martin Mönnigmann:
Teaching MPC: Which Way to the Promised Land? CoRR abs/2106.00944 (2021) - 2020
- [j25]Ruth Mitze, Martin Mönnigmann:
A dynamic programming approach to solving constrained linear-quadratic optimal control problems. Autom. 120: 109132 (2020) - [j24]Marc Oliver Berner, Viktor Scherer, Martin Mönnigmann:
An observer for partially obstructed wood particles in industrial drying processes. Comput. Chem. Eng. 141: 107013 (2020) - [j23]Patrik Simon Berner
, Martin Mönnigmann:
A Complexity Analysis of Event-Triggered Model Predictive Control on Industrial Hardware. IEEE Trans. Control. Syst. Technol. 28(6): 2625-2632 (2020) - [i2]Yannik Löhr, Daniel Wolf, Clemens Pollerberg, Alexander Hörsting, Martin Mönnigmann:
Supervisory model predictive control for PV battery and heat pump system with phase change slurry thermal storage. CoRR abs/2003.11990 (2020) - [i1]Yashar Kouhi, Jens Müller, Sebastian Leonow, Martin Mönnigmann:
Estimating load points of a motor-pump system using pressure and inverter drive data. CoRR abs/2010.04090 (2020)
2010 – 2019
- 2019
- [j22]Martin Mönnigmann:
On the structure of the set of active sets in constrained linear quadratic regulation. Autom. 106: 61-69 (2019) - [c30]Patrik Berner, Kai König, Michal Kvasnica, Martin Mönnigmann:
Active set updates in event-triggered networked MPC. ECC 2019: 2743-2748 - [c29]Sebastian Leonow, Martin Mönnigmann:
A self learning binary controller for increased control performance. ECC 2019: 3632-3637 - [c28]David Dillkötter, Martin Mönnigmann:
Design of a model based feedforward controller for additive manufacturing by laser metal deposition. ECC 2019: 3842-3847 - 2018
- [j21]Rolf Findeisen, Knut Graichen, Martin Mönnigmann:
Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen. Autom. 66(11): 877-902 (2018) - [j20]Moritz Schulze Darup, Martin Mönnigmann:
Optimization-free robust MPC around the terminal region. Autom. 95: 229-235 (2018) - [j19]Moritz Schulze Darup, Martin Mönnigmann:
Fast computation of Lipschitz constants on hyperrectangles using sparse codelists. Comput. Chem. Eng. 116: 135-143 (2018) - [c27]Ruth Mitze, David Dillkötter, Sebastien Gros, Axel Schild, Martin Mönnigmann:
Fast and smooth surface B-spline interpolation for regularly spaced data used in system modeling to make MPC real-time feasible. ECC 2018: 1-6 - [c26]Kai König, Martin Mönnigmann:
Regional MPC with nonlinearly bounded regions of validity. ECC 2018: 294-299 - [c25]Patrik Simon Berner, Martin Mönnigmann:
Event-Based Networked Model Predictive Control With Overclocked Local Nodes. ECC 2018: 306-311 - [c24]Yannik Lohr, Martin Mönnigmann:
Receding horizon heat flow control in domestic buildings - Yesterday-based disturbance predictions. ECC 2018: 404-409 - 2017
- [j18]Kai König, Martin Mönnigmann:
Regionale prädiktive Regelung - Modellprädiktive Regelung mittels stückweise definiertem Riccati-Regler. Autom. 65(12): 808-821 (2017) - [j17]Michael Jost, Gabriele Pannocchia, Martin Mönnigmann:
Accelerating linear model predictive control by constraint removal. Eur. J. Control 35: 42-49 (2017) - [c23]Moritz Schulze Darup, Raphael Dyrska, Kai König, Martin Mönnigmann:
A novel event-triggered robust MPC scheme for linear systems. CDC 2017: 2941-2946 - 2016
- [j16]Moritz Schulze Darup, Martin Mönnigmann:
Improved Automatic Computation of Hessian Matrix Spectral Bounds. SIAM J. Sci. Comput. 38(4) (2016) - [c22]Patrik Berner, Martin Mönnigmann:
A comparison of four variants of event-triggered networked MPC. CCA 2016: 1519-1524 - [c21]Jonas Otten, Martin Mönnigmann:
Robust optimization of delay differential equations with state and parameter dependent delays. CDC 2016: 1441-1446 - [c20]Michael Jost, Gabriele Pannocchia, Martin Mönnigmann:
Constraint removal in linear MPC: An improved criterion and complexity analysis. ECC 2016: 752-757 - [c19]Sebastian Leonow, Martin Mönnigmann:
Operating point estimation in hydraulic turbomachines with non-invertible characteristics. ECC 2016: 2380-2385 - 2015
- [j15]Michael Jost, Gabriele Pannocchia, Martin Mönnigmann:
Online constraint removal: Accelerating MPC with a Lyapunov function. Autom. 57: 164-169 (2015) - [j14]Moritz Schulze Darup, Martin Mönnigmann:
A stabilizing control scheme for linear systems on controlled invariant sets. Syst. Control. Lett. 79: 8-14 (2015) - [c18]Michael Jost, Gabriele Pannocchia, Martin Mönnigmann:
Accelerating tube-based model predictive control by constraint removal. CDC 2015: 3651-3656 - [c17]Michael Jost, Moritz Schulze Darup, Martin Mönnigmann:
Optimal and suboptimal event-triggering in linear model predictive control. ECC 2015: 1153-1158 - [c16]Michael Jost, Gabriele Pannocchia, Martin Mönnigmann:
Assessing the speed-up achievable by online constraint removal in MPC. ECC 2015: 3434-3439 - 2014
- [j13]Moritz Schulze Darup, Martin Kastsian, Stefan Mross, Martin Mönnigmann:
Efficient computation of spectral bounds for Hessian matrices on hyperrectangles for global optimization. J. Glob. Optim. 58(4): 631-652 (2014) - [c15]Andreas Schwung, Patrik Berner, Semir Osmic, Michael Jost, Martin Mönnigmann:
Nonlinear decoupling control of compressor systems for fast load transients in combined cycle power plants. CCA 2014: 27-32 - [c14]Darya Kastsian, Elisabeth Oertel, Martin Mönnigmann:
Optimal parameters for stable walking of a compass-like biped robot. CCA 2014: 814-819 - [c13]Semir Osmic, Marc Oliver Berner, Andreas Schwung, Michael Jost, Martin Mönnigmann:
Flatness-based feedforward control for fast operating point transitions of compressor systems. CCA 2014: 1753-1758 - [c12]Moritz Schulze Darup, Martin Mönnigmann:
On general relations between null-controllable and controlled invariant sets for linear constrained systems. CDC 2014: 6323-6328 - 2013
- [c11]Moritz Schulze Darup, Martin Mönnigmann:
Accurate approximation of the largest null-controllable set for single-input bilinear systems. CDC 2013: 3951-3956 - [c10]Michael Jost, Martin Mönnigmann:
Accelerating model predictive control by online constraint removal. CDC 2013: 5764-5769 - [c9]Michael Jost, Martin Mönnigmann:
Accelerating online MPC with partial explicit information and linear storage complexity in the number of constraints. ECC 2013: 35-40 - [c8]Sebastian Leonow, Martin Mönnigmann:
Soft sensor based dynamic flow rate estimation in low speed radial pumps. ECC 2013: 778-783 - [c7]Moritz Schulze Darup, Martin Mönnigmann:
Null-controllable set computation for a class of constrained bilinear systems. ECC 2013: 2758-2763 - 2012
- [j12]Martin Kastsian, Michael Jost, Martin Mönnigmann:
Ansätze zur Berechnung und schnellen Auswertung expliziter modellprädiktiver Regelgesetze. Autom. 60(8) (2012) - [c6]Darya Kastsian, Martin Mönnigmann:
Robust optimization of periodically operated reactors with stability constraints. CCA 2012: 184-189 - [c5]Moritz Schulze Darup, Martin Mönnigmann:
Approximate explicit NMPC with guaranteed stability ensured by a simple auxiliary controller. ISIC 2012: 270-275 - [c4]Martin Mönnigmann, Michael Jost:
Vertex based calculation of explicit MPC laws. ACC 2012: 423-428 - 2011
- [j11]Tom Quaiser, Anna Dittrich, Fred Schaper, Martin Mönnigmann:
A simple work flow for biologically inspired model reduction - application to early JAK-STAT signaling. BMC Syst. Biol. 5: 30 (2011) - [j10]Martin Mönnigmann:
Fast Calculation of Spectral Bounds for Hessian Matrices on Hyperrectangles. SIAM J. Matrix Anal. Appl. 32(4): 1351-1366 (2011) - [c3]Wolfgang Grote, Darya Kastsian, Martin Mönnigmann:
Optimal power system unit commitment with guaranteed local stability. ACC 2011: 4526-4531 - [c2]Moritz Schulze Darup, Martin Mönnigmann:
Explicit feasible initialization for nonlinear MPC with guaranteed stability. CDC/ECC 2011: 2674-2679 - 2010
- [j9]Darya Kastsian, Martin Mönnigmann:
Robust Optimization of Fixed Points of Nonlinear Discrete Time Systems with Uncertain Parameters. SIAM J. Appl. Dyn. Syst. 9(2): 357-390 (2010)
2000 – 2009
- 2009
- [j8]Tom Quaiser, Martin Mönnigmann:
Systematic identifiability testing for unambiguous mechanistic modeling - application to JAK-STAT, MAP kinase, and NF-κB signaling pathway models. BMC Syst. Biol. 3: 50 (2009) - [r2]Martin Mönnigmann, Christodoulos A. Floudas:
Protein Loop Structure Prediction Methods. Encyclopedia of Optimization 2009: 3100-3105 - [r1]Martin Mönnigmann, Wolfgang Marquardt:
Robust Design of Dynamic Systems by Constructive Nonlinear Dynamics. Encyclopedia of Optimization 2009: 3307-3314 - 2008
- [j7]Moritz Diehl, Johannes Gerhard, Wolfgang Marquardt, Martin Mönnigmann:
Numerical solution approaches for robust nonlinear optimal control problems. Comput. Chem. Eng. 32(6): 1279-1292 (2008) - [j6]Johannes Gerhard, Martin Mönnigmann, Wolfgang Marquardt:
Steady state optimization with guaranteed stability of a tryptophan biosynthesis model. Comput. Chem. Eng. 32(12): 2914-2919 (2008) - [j5]Johannes Gerhard, Wolfgang Marquardt, Martin Mönnigmann:
Normal Vectors on Critical Manifolds for Robust Design of Transient Processes in the Presence of Fast Disturbances. SIAM J. Appl. Dyn. Syst. 7(2): 461-490 (2008) - [j4]Martin Mönnigmann:
Efficient Calculation of Bounds on Spectra of Hessian Matrices. SIAM J. Sci. Comput. 30(5): 2340-2357 (2008) - 2007
- [j3]Martin Mönnigmann, Wolfgang Marquardt, Christian H. Bischof, Thomas Beelitz, Bruno Lang, Paul R. Willems:
A Hybrid Approach for Efficient Robust Design of Dynamic Systems. SIAM Rev. 49(2): 236-254 (2007) - 2005
- [j2]Wolfgang Marquardt, Martin Mönnigmann:
Constructive nonlinear dynamics in process systems engineering. Comput. Chem. Eng. 29(6): 1265-1275 (2005) - 2002
- [j1]Martin Mönnigmann, Wolfgang Marquardt:
Normal Vectors on Manifolds of Critical Points for Parametric Robustness of Equilibrium Solutions of ODE Systems. J. Nonlinear Sci. 12(2): 85-112 (2002) - [c1]Martin Mönnigmann, Wolfgang Marquardt:
Parametrically robust control-integrated design of nonlinear systems. ACC 2002: 4321-4326
Coauthor Index
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last updated on 2024-12-10 20:49 CET by the dblp team
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