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2020 – today
- 2024
[j30]Lukas Ecker, Markus Schöberl:
Datenbasierter Regler- und Beobachterentwurf mit neuronalen kanonischen Strukturen. Autom. 72(8): 733-744 (2024)- [j29]Bernd Kolar
, Johannes Diwold, Conrad Gstöttner, Markus Schöberl:
On the exact linearisation and control of flat discrete-time systems. Int. J. Control 97(3): 412-426 (2024) - [c11]Conrad Gstöttner, Bernd Kolar, Markus Schöberl:
A Triangular Normal Form for x-Flat Control-Affine Two-Input Systems. MMAR 2024: 298-303 - 2023
- [j28]Conrad Gstöttner, Bernd Kolar, Markus Schöberl:
A Flat System Possessing no (x, u)-Flat Output. IEEE Control. Syst. Lett. 7: 1033-1038 (2023) - [j27]Lukas Ecker, Markus Schöberl:
Indirect Data-Driven Observer Design Using Neural Canonical Observer Structures. IEEE Control. Syst. Lett. 7: 1706-1711 (2023) - [j26]Conrad Gstöttner, Bernd Kolar, Markus Schöberl:
Necessary and sufficient conditions for the linearisability of two-input systems by a two-dimensional endogenous dynamic feedback. Int. J. Control 96(3): 800-821 (2023) - [j25]Bernd Kolar, Johannes Diwold, Markus Schöberl:
Necessary and Sufficient Conditions for Difference Flatness. IEEE Trans. Autom. Control. 68(3): 1715-1721 (2023) - [c10]Lukas Ecker, Markus Schöberl:
Data-Driven Control and Transfer Learning Using Neural Canonical Control Structures. CoDIT 2023: 1856-1861 - 2022
- [j24]Johannes Diwold, Bernd Kolar, Markus Schöberl:
A Trajectory-Based Approach to Discrete-Time Flatness. IEEE Control. Syst. Lett. 6: 289-294 (2022) - [j23]Conrad Gstöttner, Bernd Kolar, Markus Schöberl:
A structurally flat triangular form based on the extended chained form. Int. J. Control 95(5): 1144-1163 (2022) - [c9]Lukas Ecker, Markus Schöberl:
A data-driven approach for the identification of nonlinear state-dependent switched systems using expectation-maximization. ICARCV 2022: 361-366 - 2021
- [b1]Markus Schöberl:
Probabilistic Machine Learning Strategies for Coarse-Graining of Molecular Dynamics at Equilibrium (Probabilistische Strategien des maschinellen Lernens zur Multiskalenmodellierung atomistischer Systeme). Technical University of Munich, Germany, 2021 - [j22]Bernd Kolar, Johannes Diwold, Markus Schöberl:
Zur Theorie und Anwendung der Flachheit nichtlinearer zeitdiskreter Systeme in Zustandsdarstellung. Autom. 69(7): 574-584 (2021) - [j21]Lukas Ecker, Tobias Malzer, Arne Wahrburg, Markus Schöberl:
Observer design for a single mast stacker crane. Autom. 69(9): 806-816 (2021) - [j20]Bernd Kolar, Markus Schöberl, Johannes Diwold:
Differential-geometric decomposition of flat nonlinear discrete-time systems. Autom. 132: 109828 (2021) - [j19]Tobias Malzer, Hubert Rams, Bernd Kolar, Markus Schöberl:
Stability Analysis of the Observer Error of an In-Domain Actuated Vibrating String. IEEE Control. Syst. Lett. 5(4): 1237-1242 (2021) - [j18]Johannes Diwold, Bernd Kolar, Markus Schöberl:
A normal form for two-input forward-flat nonlinear discrete-time systems. Int. J. Syst. Sci. 52(8): 1586-1598 (2021) - [c8]Conrad Gstöttner, Bernd Kolar, Markus Schöberl:
A Finite Test for the Linearizability of Two-Input Systems by a Two-Dimensional Endogenous Dynamic Feedback. ECC 2021: 970-977 - [i3]Johannes Diwold, Bernd Kolar, Markus Schöberl:
Discrete-time Flatness-based Control of a Gantry Crane. CoRR abs/2108.08658 (2021) - 2020
- [j17]Tobias Malzer, Hubert Rams, Markus Schöberl:
On structural invariants in the energy-based in-domain control of infinite-dimensional port-Hamiltonian systems. Syst. Control. Lett. 145: 104778 (2020) - [i2]Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis:
Embedded-physics machine learning for coarse-graining and collective variable discovery without data. CoRR abs/2002.10148 (2020)
2010 – 2019
- 2019
- [j16]Helmut Kogler, Markus Schöberl, Rudolf Scheidl:
Passivity-based control of a pulse-width mode operated digital hydraulic drive. J. Syst. Control. Eng. 233(6) (2019) - 2018
- [j15]Hubert Rams, Markus Schöberl, Kurt Schlacher:
Optimal Motion Planning and Energy-Based Control of a Single Mast Stacker Crane. IEEE Trans. Control. Syst. Technol. 26(4): 1449-1457 (2018) - [c7]Tobias Malzer, Hubert Rams, Markus Schöberl:
Energy-Based Control of Nonlinear Infinite-Dimensional Port-Hamiltonian Systems with Dissipation. CDC 2018: 3746-3751 - [i1]Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis:
Predictive Collective Variable Discovery with Deep Bayesian Models. CoRR abs/1809.06913 (2018) - 2017
- [j14]Hubert Rams, Markus Schöberl:
Energiebasierte Regelung von verteilt-parametrischen Hamiltonschen Systemen mit Hamiltonschen Dichten zweiter Ordnung. Autom. 65(5): 323 (2017) - [j13]Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis:
Predictive coarse-graining. J. Comput. Phys. 333: 49-77 (2017) - [c6]Hubert Rams, Markus Schöberl:
On structural invariants in the energy based control of port-Hamiltonian systems with second-order Hamiltonian. ACC 2017: 1139-1144 - 2016
- [j12]Bernd Kolar, Markus Schöberl, Kurt Schlacher:
Eine Normalform für eine spezielle Klasse flacher nichtlinearer zeitdiskreter Mehrgrößensysteme. Autom. 64(8): 586-601 (2016) - 2015
- [j11]Markus Schöberl, Kurt Schlacher:
Lagrange'sche und Hamilton'sche Beschreibung partieller Differentialgleichungen. Autom. 63(8): 570-583 (2015) - [j10]Markus Schöberl:
Differentialgeometrische Beschreibung und Analyse Tor-basierter Hamilton'scher Systeme. Autom. 63(9): 672-683 (2015) - 2014
- [j9]Kurt Schlacher, Markus Schöberl:
Geometrische Darstellung nichtlinearer Systeme. Autom. 62(7): 452-462 (2014) - [j8]Markus Schöberl, Kurt Schlacher:
Eine Normalform für eine spezielle Klasse flacher nichtlinearer Mehrgrößensysteme in Pfaffscher Systemdarstellung. Autom. 62(7): 463-474 (2014) - [j7]Markus Schöberl, Andreas Siuka:
Jet bundle formulation of infinite-dimensional port-Hamiltonian systems using differential operators. Autom. 50(2): 607-613 (2014) - [j6]Markus Schöberl, Kurt Schlacher:
On an implicit triangular decomposition of nonlinear control systems that are 1-flat - A constructive approach. Autom. 50(6): 1649-1655 (2014) - 2013
- [j5]Markus Schöberl, Andreas Siuka:
On Casimir Functionals for Infinite-Dimensional Port-Hamiltonian Control Systems. IEEE Trans. Autom. Control. 58(7): 1823-1828 (2013) - [c5]Kurt Schlacher, Markus Schöberl:
A jet space approach to check Pfaffian systems for flatness. CDC 2013: 2576-2581 - [c4]Markus Schöberl, Andreas Siuka:
Analysis and comparison of port-Hamiltonian formulations for field theories - demonstrated by means of the Mindlin plate. ECC 2013: 548-553 - 2012
- [j4]Markus Schöberl, Kurt Schlacher:
Zur konstruktiven Berechnung flacher Ausgänge für nichtlineare Systeme. Autom. 60(8) (2012) - [j3]Markus Schöberl, Kurt Schlacher:
On an intrinsic formulation of time-variant Port Hamiltonian systems. Autom. 48(9): 2194-2200 (2012) - 2011
- [j2]Andreas Siuka, Markus Schöberl, Karl Rieger, Kurt Schlacher:
Regelung verteilt-parametrischer Hamiltonscher Systeme auf Basis struktureller Invarianten. Autom. 59(8): 465-478 (2011) - [c3]Markus Schöberl, Andreas Siuka:
On Casimir functionals for field theories in Port-Hamiltonian description for control purposes. CDC/ECC 2011: 7759-7764 - [c2]Markus Schöberl, Kurt Schlacher:
On calculating flat outputs for Pfaffian systems by a reduction procedure - Demonstrated by means of the VTOL example. ICCA 2011: 477-482 - 2010
- [c1]Karl Rieger, Markus Schöberl, Kurt Schlacher:
Local decomposition and accessibility of PDE systems. CDC 2010: 6271-6276
2000 – 2009
- 2009
- [j1]Andreas Siuka, Markus Schöberl:
Applications of energy based control methods for the inverted pendulum on a cart. Robotics Auton. Syst. 57(10): 1012-1017 (2009)
Coauthor Index
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last updated on 2024-10-11 17:31 CEST by the dblp team
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