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ORCIDVolker Krebs
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Journal Articles
- 2012
[j9]Volker Krebs:
Henning Tolle zum 80. Geburtstag. Autom. 60(6): 362-364 (2012)- 2009
- [j8]Dirk K. Feßler, Volker Krebs:
Ein Verfahren zur modellbasierten On-Board Diagnose von Drei-Wege-Katalysatoren (A Method for Model-based On-board Diagnosis for Three-Way Catalytic Converters). Autom. 57(1): 32-39 (2009) - [j7]Thorsten Schlage, Matthias Schwaiger, Volker Krebs, Jan Lunze:
Vergleich zweier Methoden zur modellbasierten Ferndiagnose technischer Systeme (Comparison of Two Model-based Methods of Remote Diagnosis of Technological Systems). Autom. 57(11): 539-551 (2009) - 2007
- [j6]Markus S. Haschka, Volker Krebs:
Beobachtung der Verdrillung in einem Kfz-Antriebsstrang mit Lose (Observing the Torque of a Powertrain with Backlash). Autom. 55(3): 127-135 (2007) - 2006
- [j5]Gernot Schullerus, Volker Krebs, Bart De Schutter
, Ton J. J. van den Boom:
Input signal design for identification of max-plus-linear systems. Autom. 42(6): 937-943 (2006) - 1980
- [j4]U. Hartmann, Volker Krebs:
Command and stability systems for aircraft: A new digital adaptive approach. Autom. 16(2): 135-146 (1980) - 1976
- [j3]Volker Krebs:
Review of "Stochastische Grundlagen des Kalman-Bucy Filters-Wahrscheinlich-Keitsrechnung und Zufallsprozesse" (Stochastic Fundamentals of the Kalman-Bucy Filter-Probability Theory and Stochastic Processes) by Karl Brammer and Gerhard Siffling. IEEE Trans. Syst. Man Cybern. 6(9): 655 (1976) - [j2]Volker Krebs:
Review of "Kalman-Bucy Filter-Deterministische Beobachtung und Stochastische Filterung" (Kalman-Bucy Filter-Deterministic Observing and Stochastic Filtering) by Karl Brammer and Gerhard Siffling. IEEE Trans. Syst. Man Cybern. 6(9): 655-656 (1976) - [j1]Volker Krebs:
Review of "Einführung in Die Theorie des Linearen Optimalfilters (Kalman-Filter)" (Introduction to Linear Optimal Filtering Theory (Kalman Filter)) by Edgar Neuburger. IEEE Trans. Syst. Man Cybern. 6(11): 796 (1976)
Conference and Workshop Papers
- 2008
- [c13]Michael Buchholz, Mathias Eswein, Volker Krebs:
Modelling PEM fuel cell stacks for FDI using linear subspace identification. CCA 2008: 341-346 - 2007
- [c12]Matthias Schwaiger, Volker Krebs:
Map-based approach to fault detection for piecewise-affine systems. SMC 2007: 1316-1320 - 2005
- [c11]Thomas E. Hodrus, Michael Buchholz, Volker Krebs:
A New Local Control Strategy for Control of Discrete-Time Piecewise Affine Systems. CDC/ECC 2005: 4181-4186 - 2003
- [c10]Eberhard Münz, Thomas E. Hodrus, Volker Krebs:
Top-Down Identification of Hybrid Characteristic Maps. ADHS 2003: 27-32 - [c9]Ton J. J. van den Boom, B. De Schatter, Gernot Schullerus, Volker Krebs:
Adaptive model predictive control using max-plus-linear input-output models. ACC 2003: 933-938 - [c8]Gernot Schullerus, Joachim Fox, Volker Krebs:
The influence of measurement noise on the parameter estimation of max-plus-linear systems. ECC 2003: 139-144 - [c7]Gernot Schullerus, Volker Krebs, Bart De Schutter, Ton J. J. van den Boom:
Optimal input signal design for identification of max-plus-linear systems. ECC 2003: 151-156 - 2001
- [c6]Sören Hohmann, Alexij Konrad, Volker Krebs:
Exact sampled data representation of continuous time nonlinear systems by finite polynomials with exactly determined coefficients. ACC 2001: 1628-1633 - [c5]Gernot Schullerus, Volker Krebs:
Diagnosis of batch processes based on parameter estimation of discrete event models. ECC 2001: 1612-1617 - [c4]Martin S. Sackmann, Eberhard Münz, Volker Krebs:
Optimal tracking controller design for non-linear non minimum-phase systems. ECC 2001: 2981-2986 - 1999
- [c3]Mark K. Schnabel, Gero Michael Nenninger, Volker G. Krebs:
Control of hybrid systems based on net state models. ECC 1999: 1558-1563 - [c2]Jörg Schultz, Volker Krebs:
A new approach to determine the neural network's domain of validity by elliptic expansion. ECC 1999: 1564-1569 - [c1]Martin S. Sackmann, Volker G. Krebs:
Nonlinear control of a continuously variable transmission using hyperstability theory. ECC 1999: 1570-1575
Coauthor Index
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