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2020 – today
- 2022
[j31]Amer Mesanovic
, Ulrich Münz, Rolf Findeisen:
Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. IEEE Trans. Control. Syst. Technol. 30(2): 696-711 (2022)- [i14]Johannes Pohlodek, Bruno Morabito, Christian Schlauch, Pablo Zometa, Rolf Findeisen:
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC. CoRR abs/2203.13671 (2022) - [i13]Markus Koegel, Mohamed Ibrahim, Christian Kallies, Rolf Findeisen:
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems. CoRR abs/2203.14269 (2022) - 2021
- [j30]Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz:
Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties. Autom. 131: 109743 (2021) - [c106]Tim Zieger, Anton Savchenko, Thimo Oehlschlägel, Rolf Findeisen:
One-Step Safe Neural Network Supported Control. ACC 2021: 514-519 - [c105]Markus J. Kögel, Rolf Findeisen:
Reducing conservatism in stochastic model predictive blending multiple control gains. ACC 2021: 2094-2101 - [c104]Hoang Hai Nguyen, Tim Zieger, Sandra C. Wells, Anastasia Nikolakopoulou, Richard D. Braatz, Rolf Findeisen:
Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. ACC 2021: 3564-3569 - [c103]Markus J. Kögel, Rolf Findeisen:
Robust output feedback MPC with reduced conservatism for linear uncertain systems using time varying tubes. CDC 2021: 2571-2577 - [i12]Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz:
A Polynomial Chaos Approach to Robust H∞ Static Output-Feedback Control with Bounded Truncation Error. CoRR abs/2102.08626 (2021) - [i11]Michael Maiworm, Christian Wagner, Taner Esat, Philipp Leinen, Ruslan Temirov, Rolf Findeisen, F. Stefan Tautz:
Control of Scanning Quantum Dot Microscopy. CoRR abs/2102.12708 (2021) - [i10]Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters:
Stochastic Control through Approximate Bayesian Input Inference. CoRR abs/2105.07693 (2021) - 2020
- [j29]Armin Nurkanovic, Amer Mesanovic, Mario Sperl, Sebastian Albrecht, Ulrich Münz, Rolf Findeisen, Moritz Diehl:
Optimization-based primary and secondary control of microgrids. Autom. 68(12): 1044-1058 (2020) - [j28]Banafsheh Jabarivelisdeh, Lisa Carius, Rolf Findeisen, Steffen Waldherr:
Adaptive predictive control of bioprocesses with constraint-based modeling and estimation. Comput. Chem. Eng. 135: 106744 (2020) - [j27]Tillmann Mühlpfordt, Rolf Findeisen, Veit Hagenmeyer, Timm Faulwasser:
Errata for "Comments on Truncation Errors for Polynomial Chaos Expansions". IEEE Control. Syst. Lett. 4(2): 504-505 (2020) - [j26]Gustavo Hernandez-Mejia, Alma Y. Alanis, Miguel Hernández-González, Rolf Findeisen, Esteban A. Hernández-Vargas:
Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host. IEEE Trans. Control. Syst. Technol. 28(1): 94-105 (2020) - [c102]Johanna Bethge, Shuyou Yu, Rolf Findeisen:
Model predictive control with guarantees for discrete linear stochastic systems subject to additive disturbances with chance constraints. ACC 2020: 1943-1948 - [c101]Markus J. Kögel, Rolf Findeisen:
Robust MPC with Reduced Conservatism Blending Multiples Tubes. ACC 2020: 1949-1954 - [c100]Hoang Hai Nguyen, Janine Matschek, Tim Zieger, Anton Savchenko, Navid Noroozi, Rolf Findeisen:
Towards nominal stability certification of deep learning-based controllers. ACC 2020: 3886-3891 - [c99]Petar Andonov, Anton Savchenko, Philipp Rumschinski, Thomas Trenner, Jörg Neidig, Rolf Findeisen:
Monitoring and verification of event-driven transportation systems in discrete manufacturing. CCTA 2020: 1-7 - [c98]Janine Matschek, Reni Jordanowa, Rolf Findeisen:
Direct Force Feedback using Gaussian Process based Model Predictive Control. CCTA 2020: 8-13 - [c97]Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen:
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CDC 2020: 5525-5531 - [c96]Mohamed Ibrahim, Christian Kallies, Rolf Findeisen:
Learning-Supported Approximated Optimal Control for Autonomous Vehicles in the Presence of State Dependent Uncertainties. ECC 2020: 338-343 - [c95]Janine Matschek, Tim Gonschorek, Magnus Hanses, Norbert Elkmann, Frank Ortmeier, Rolf Findeisen:
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery. ECC 2020: 362-367 - [c94]Lingyu Meng, Shuyou Yu, Huan Chang, Rolf Findeisen, Hong Chen:
Path following and terminal force control of robotic manipulators. ICCA 2020: 1482-1487 - [c93]Janine Matschek, Rolf Findeisen:
Learning supported Model Predictive Control for Tracking of Periodic References. L4DC 2020: 511-520 - [i9]Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen:
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. CoRR abs/2004.02488 (2020) - [i8]Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Controller tuning in power systems using singular value optimization. CoRR abs/2005.03949 (2020)
2010 – 2019
- 2019
- [j25]Henning Lindhorst, Sergio Lucia, Rolf Findeisen, Steffen Waldherr:
Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization. IEEE Control. Syst. Lett. 3(2): 248-253 (2019) - [c92]Stefano Di Cairano, Tobias Bäthge, Rolf Findeisen:
Modular Design for Constrained Control of Actuator-Plant Cascades. ACC 2019: 1755-1760 - [c91]Petar Andonov, Anton Savchenko, Rolf Findeisen:
Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. ACC 2019: 2795-2800 - [c90]Markus J. Kögel, Rolf Findeisen:
Combined online communication scheduling and output feedback MPC of cyber-physical systems. CCNC 2019: 1-6 - [c89]Seyed Hossein Mousavi, Navid Noroozi, Roman Geiselhart, Markus J. Kögel, Rolf Findeisen:
On integral input-to-state stability of event-triggered control systems. CDC 2019: 1674-1679 - [c88]Navid Noroozi, Roxanne Jackson, Daniel E. Quevedo, Fabian R. Wirth, Rolf Findeisen:
On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions. CDC 2019: 5406-5411 - [c87]Markus J. Kögel, Daniel E. Quevedo, Rolf Findeisen:
Combined control and communication scheduling for constrained system using robust output feedback MPC. ECC 2019: 1778-1783 - [i7]Amer Mesanovic, Ulrich Münz, Andrei Szabo, Martin Mangold, Joachim Bamberger, Michael Metzger, Chris Heyde, Rainer Krebs, Rolf Findeisen:
Guaranteed H-infinity Controller Parameter Tuning for Power Systems: Method and Experimental Evaluation. CoRR abs/1910.12335 (2019) - [i6]Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. CoRR abs/1911.01499 (2019) - [i5]Michael Maiworm, Daniel Limón, Rolf Findeisen:
Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees. CoRR abs/1911.03315 (2019) - 2018
- [j24]Rolf Findeisen, Knut Graichen, Martin Mönnigmann:
Eingebettete Optimierung in der Regelungstechnik - Grundlagen und Herausforderungen. Autom. 66(11): 877-902 (2018) - [j23]Sergio Lucia, Denis Navarro, Oscar Lucía, Pablo Zometa, Rolf Findeisen:
Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool. IEEE Trans. Ind. Informatics 14(1): 137-145 (2018) - [c86]Michael Kopf, Eric Bullinger, Hans-Gerd Giesseler, Stephan Adden, Rolf Findeisen:
Model Predictive Control for Aircraft Load Alleviation: Opportunities and Challenges. ACC 2018: 2417-2424 - [c85]Khalid J. Kazim, Johanna Bethge, Janine Matschek, Rolf Findeisen:
Combined Predictive Path Following and Admittance Control. ACC 2018: 3153-3158 - [c84]Amer Mesanovic, Dominik Unseld, Ulrich Münz, Christian Ebenbauer, Rolf Findeisen:
Parameter Tuning and Optimal Design of Decentralized Structured Controllers for Power Oscillation Damping in Electrical Networks. ACC 2018: 3828-3833 - [c83]Michael Maiworm, Christian Wagner, Ruslan Temirov, F. Stefan Tautz, Rolf Findeisen:
Two-degree-of-freedom control combining machine learning and extremum seeking for fast scanning quantum dot microscopy. ACC 2018: 4360-4366 - [c82]Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz:
Robust Static H∞ Output-Feedback Control Using Polynomial Chaos. ACC 2018: 6804-6809 - [c81]Markus J. Kögel, Rolf Findeisen:
Improved Robust Decentralized MPC. ECC 2018: 312-318 - [c80]Markus J. Kögel, Petar Andonov, Marco Filax, Frank Ortmeier, Rolf Findeisen:
Predictive Tracking Control of a Camera - Head Mounted Display System subject to Communication Constraints. ECC 2018: 1035-1041 - [c79]Petar Andonov, Bruno Morabito, Anton Savchenko, Rolf Findeisen:
Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management. ECC 2018: 2338-2343 - [c78]Amer Mesanovic, Ulrich Münz, Joachim Bamberger, Rolf Findeisen:
Controller Tuning for the Improvement of Dynamic Security in Power Systems. ISGT Europe 2018: 1-6 - 2017
- [j22]Timm Faulwasser, Tobias Weber, Pablo Zometa, Rolf Findeisen:
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot. IEEE Trans. Control. Syst. Technol. 25(4): 1505-1511 (2017) - [c77]Masako Kishida, Markus J. Kögel, Rolf Findeisen:
Event-triggered actuator signal update using self-triggered sampled data for uncertain linear systems. ACC 2017: 3035-3041 - [c76]Bruno Morabito, Reinhardt Klein, Rolf Findeisen:
Real time feasibility and performance of moving horizon estimation for Li-ion batteries based on first principles electrochemical models. ACC 2017: 3457-3462 - [c75]Sergio Lucia, Marcello Torchio, Davide Martino Raimondo, Reinhardt Klein, Richard D. Braatz, Rolf Findeisen:
Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. ACC 2017: 4717-4722 - [c74]Sergio Lucia, Joel A. Paulson, Rolf Findeisen, Richard D. Braatz:
On stability of stochastic linear systems via polynomial chaos expansions. ACC 2017: 5089-5094 - [c73]Markus J. Kögel, Rolf Findeisen:
Low latency output feedback model predictive control for constrained linear systems. CDC 2017: 1925-1932 - [c72]Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Coordinated tuning of synchronous generator controllers for power oscillation damping. ISGT Europe 2017: 1-6 - [i4]Tillmann Mühlpfordt, Rolf Findeisen, Veit Hagenmeyer, Timm Faulwasser:
Comments on Truncation Errors for Polynomial Chaos Expansions. CoRR abs/1708.07655 (2017) - 2016
- [j21]Sergio Lucia, Markus J. Kögel, Pablo Zometa, Daniel E. Quevedo, Rolf Findeisen:
Predictive control, embedded cyberphysical systems and systems of systems - A perspective. Annu. Rev. Control. 41: 193-207 (2016) - [j20]Timm Faulwasser, Rolf Findeisen:
Nonlinear Model Predictive Control for Constrained Output Path Following. IEEE Trans. Autom. Control. 61(4): 1026-1039 (2016) - [c71]Tillmann Muhlpfordt, Joel A. Paulson, Richard D. Braatz, Rolf Findeisen:
Output feedback model predictive control with probabilistic uncertainties for linear systems. ACC 2016: 2035-2040 - [c70]Rolf Findeisen, Martha A. Grover, Christian Wagner, Michael Maiworm, Ruslan Temirov, F. Stefan Tautz, Murti V. Salapaka, Srinivasa M. Salapaka, Richard D. Braatz, S. O. Reza Moheimani:
Control on a molecular scale: A perspective. ACC 2016: 3069-3082 - [c69]Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen:
Manipulation on a molecular level: towards controlled molecular 3D printing. ACC 2016: 3094 - [c68]Shuyou Yu, Ting Qu, Rolf Findeisen, Hong Chen:
Model predictive control for uncertain nonlinear systems subject to chance constraints. CDC 2016: 2751-2756 - [c67]Tobias Bäthge, Sergio Lucia, Rolf Findeisen:
Exploiting models of different granularity in robust predictive control. CDC 2016: 2763-2768 - [c66]Masako Kishida, Markus J. Kögel, Rolf Findeisen:
Verifying robust forward admissibility for nonlinear systems using (skewed) structured singular values. CDC 2016: 4065-4071 - [c65]Pablo Zometa, Hannes Heinemann, Sergio Lucia, Markus J. Kögel, Rolf Findeisen:
Efficient stochastic model predictive control for embedded systems based on second-order cone programs. ECC 2016: 166-171 - [c64]Gergely Takács, Pablo Zometa, Rolf Findeisen, Boris Rohal-Ilkiv:
Efficiency and performance of embedded model predictive control for active vibration attenuation. ECC 2016: 1334-1340 - 2015
- [c63]Ion Necoara, Rolf Findeisen:
Parallel and distributed random coordinate descent method for convex error bound minimization. ACC 2015: 527-532 - [c62]Markus J. Kögel, Rolf Findeisen:
Discrete-time robust model predictive control for continuous-time nonlinear systems. ACC 2015: 924-930 - [c61]Michael Kopf, Hans-Gerd Giesseler, Paolo Varutti, Timm Faulwasser, Rolf Findeisen:
On the effect of enforcing stability in model predictive control for gust load alleviation. ACC 2015: 2329-2334 - [c60]Sergio Lucia, Pablo Zometa, Markus J. Kögel, Rolf Findeisen:
Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. CDC 2015: 3006-3012 - [c59]Andrei Patrascu, Ion Necoara, Rolf Findeisen:
Rate of convergence analysis of a dual fast gradient method for general convex optimization. CDC 2015: 3311-3316 - [c58]Markus J. Kögel, Rolf Findeisen:
Robust output feedback predictive control with self-triggered measurements. CDC 2015: 5487-5493 - [c57]Masako Kishida, Rolf Findeisen:
μ-based approaches to determining guaranteed consistent and inconsistent parameter sets. CDC 2015: 6603-6608 - [c56]Markus J. Kögel, Rolf Findeisen:
Self-triggered, prediction-based control of Lipschitz nonlinear systems. ECC 2015: 2150-2155 - [i3]Timm Faulwasser, Rolf Findeisen:
Nonlinear Model Predictive Control for Constrained Output Path Following. CoRR abs/1502.02468 (2015) - [i2]Timm Faulwasser, Tobias Weber, Juan Pablo Zometa, Rolf Findeisen:
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot. CoRR abs/1506.09084 (2015) - 2014
- [j19]Matthias Rausch, Reinhardt Klein, Stefan Streif, Christian Pankiewitz, Rolf Findeisen:
Modellbasierte Zustandsschätzung für Lithium-Ionen-Batterien. Autom. 62(4): 296-311 (2014) - [j18]Timm Faulwasser, Veit Hagenmeyer, Rolf Findeisen:
Constrained reachability and trajectory generation for flat systems. Autom. 50(4): 1151-1159 (2014) - [j17]Joseph K. Scott, Rolf Findeisen, Richard D. Braatz, Davide Martino Raimondo:
Input design for guaranteed fault diagnosis using zonotopes. Autom. 50(6): 1580-1589 (2014) - [j16]Masako Kishida, Philipp Rumschinski, Rolf Findeisen, Richard D. Braatz:
Efficient Polynomial-Time Outer Bounds on State Trajectories for Uncertain Polynomial Systems Using Skewed Structured Singular Values. IEEE Trans. Autom. Control. 59(11): 3063-3068 (2014) - [c55]Matthias Rausch, Reinhardt Klein, Stefan Streif, Christian Pankiewitz, Rolf Findeisen:
Set-based state of charge estimation for lithium-ion batteries. ACC 2014: 1566-1571 - [c54]Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz:
Stochastic nonlinear model predictive control with probabilistic constraints. ACC 2014: 2413-2419 - [c53]Markus J. Kögel, Rolf Findeisen:
On self-triggered reduced-attention control for constrained systems. CDC 2014: 2795-2801 - [c52]Joel A. Paulson, Ali Mesbah, Stefan Streif, Rolf Findeisen, Richard D. Braatz:
Fast stochastic model predictive control of high-dimensional systems. CDC 2014: 2802-2809 - [c51]Markus J. Kögel, Rolf Findeisen:
Stabilization of inexact MPC schemes. CDC 2014: 5922-5928 - [c50]Markus J. Kögel, Rolf Findeisen:
On MPC based trajectory tracking. ECC 2014: 121-127 - [c49]Joel A. Paulson, Davide Martino Raimondo, Rolf Findeisen, Richard D. Braatz, Stefan Streif:
Guaranteed active fault diagnosis for uncertain nonlinear systems. ECC 2014: 926-931 - [e1]Peter Benner, Rolf Findeisen, Dietrich Flockerzi, Udo Reichl, Kai Sundmacher:
Large-Scale Networks in Engineering and Life Sciences. Modeling and Simulation in Science, Engineering and Technology, Springer 2014, ISBN 978-3-319-08436-7 [contents] - 2013
- [j15]Reinhardt Klein, Nalin A. Chaturvedi, Jake Christensen, Jasim Ahmed, Rolf Findeisen, Aleksandar Kojic:
Electrochemical Model Based Observer Design for a Lithium-Ion Battery. IEEE Trans. Control. Syst. Technol. 21(2): 289-301 (2013) - [c48]Timm Faulwasser, Janine Matschek, Pablo Zometa, Rolf Findeisen:
Predictive path-following control: Concept and implementation for an industrial robot. CCA 2013: 128-133 - [c47]Vinzenz Bargsten, Pablo Zometa, Rolf Findeisen:
Modeling, parameter identification and model-based control of a lightweight robotic manipulator. CCA 2013: 134-139 - [c46]Matthias Rausch, Stefan Streif, Christian Pankiewitz, Rolf Findeisen:
Nonlinear observability and identifiability of single cells in battery packs. CCA 2013: 401-406 - [c45]Joseph K. Scott, Rolf Findeisen, Richard D. Braatz, Davide Martino Raimondo:
Design of active inputs for set-based fault diagnosis. ACC 2013: 3561-3566 - [c44]Pablo Zometa, Markus J. Kögel, Rolf Findeisen:
μAO-MPC: A free code generation tool for embedded real-time linear model predictive control. ACC 2013: 5320-5325 - [c43]Benjamin Kern, Rolf Findeisen:
Analysis and constrained control of nonlinear interconnected systems exploiting positively invariant family of sets. CDC 2013: 3806-3811 - [c42]Daniel Hast, Stefan Streif, Rolf Findeisen:
Guaranteed diagnosability of parametric faults in nonlinear systems. CDC 2013: 5662-5667 - [c41]Stefan Streif, Philipp Rumschinski, Didier Henrion, Rolf Findeisen:
Estimation of consistent parameter sets for continuous-time nonlinear systems using occupation measures and LMI relaxations. CDC 2013: 6379-6384 - [c40]Markus J. Kögel, Rolf Findeisen:
On efficient predictive control of linear systems subject to quadratic constraints using condensed, structure-exploiting interior point methods. ECC 2013: 27-34 - [c39]Stefan Streif, Matthias Karl, Rolf Findeisen:
Outlier analysis in set-based estimation for nonlinear systems using convex relaxations. ECC 2013: 2921-2926 - [c38]Steffen Borchers, Rolf Findeisen:
Outlier Detection for Polynomial Systems Using Semidefinite Relaxations. NOLCOS 2013: 761-766 - [c37]Markus J. Kögel, Rolf Findeisen:
Stability of NMPC with Cyclic Horizons. NOLCOS 2013: 809-814 - 2012
- [j14]Sasa V. Rakovic, Basil Kouvaritakis, Rolf Findeisen, Mark Cannon:
Homothetic tube model predictive control. Autom. 48(8): 1631-1638 (2012) - [j13]Stefan Streif, Anton Savchenko, Philipp Rumschinski, Steffen Borchers, Rolf Findeisen:
ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative-quantitative modeling. Bioinform. 28(9): 1290-1291 (2012) - [j12]Markus Krauss, Stephan Schaller, Steffen Borchers, Rolf Findeisen, Jörg Lippert, Lars Kuepfer:
Integrating Cellular Metabolism into a Multiscale Whole-Body Model. PLoS Comput. Biol. 8(10) (2012) - [j11]Sasa V. Rakovic, Basil Kouvaritakis, Mark Cannon, Christos Panos, Rolf Findeisen:
Parameterized Tube Model Predictive Control. IEEE Trans. Autom. Control. 57(11): 2746-2761 (2012) - [c36]Pablo Zometa, Markus J. Kögel, Timm Faulwasser, Rolf Findeisen:
Implementation aspects of model predictive control for embedded systems. ACC 2012: 1205-1210 - [c35]Philipp Rumschinski, Dina Shona Laila, Rolf Findeisen:
Discrete-to-continuous dynamics reconstruction for bilinear systems. CDC 2012: 172-177 - 2011
- [j10]Monica Schliemann, Eric Bullinger, Steffen Borchers, Frank Allgöwer, Rolf Findeisen, Peter Scheurich:
Heterogeneity reduces sensitivity of cell death for TNF-Stimuli. BMC Syst. Biol. 5: 204 (2011) - [j9]Steffen Borchers, Sandro Bosio, Rolf Findeisen, Utz-Uwe Haus, Philipp Rumschinski, Robert Weismantel:
Graph problems arising from parameter identification of discrete dynamical systems. Math. Methods Oper. Res. 73(3): 381-400 (2011) - [c34]Markus J. Kögel, Rolf Findeisen:
Fast predictive control of linear, time-invariant systems using an algorithm based on the fast gradient method and augmented Lagrange multipliers. CCA 2011: 780-785 - [c33]Reinhardt Klein, Nalin A. Chaturvedi, Jake Christensen, Jasim Ahmed, Rolf Findeisen, Aleksandar Kojic:
Optimal charging strategies in lithium-ion battery. ACC 2011: 382-387 - [c32]Paolo Varutti, Rolf Findeisen:
Event-based NMPC for networked control systems over UDP-like communication channels. ACC 2011: 3166-3171 - [c31]Markus J. Kögel, Rolf Findeisen:
Robust suboptimal control over lossy networks using extended input schemes. CACSD 2011: 210-215 - [c30]Masako Kishida, Philipp Rumschinski, Rolf Findeisen, Richard D. Braatz:
Efficient polynomial-time outer bounds on state trajectories for uncertain polynomial systems using skewed structured singular values. CACSD 2011: 216-221 - [c29]