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Dive into the research topics where Richard Seeber is active.

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Featured researches published by Richard Seeber.


computer aided verification | 2010

RATSY – a new requirements analysis tool with synthesis

Roderick Bloem; Alessandro Cimatti; Karin Greimel; Georg Hofferek; Robert Könighofer; Marco Roveri; Viktor Schuppan; Richard Seeber

Formal specifications play an increasingly important role in system design-flows Yet, they are not always easy to deal with In this paper we present RATSY, a successor of the Requirements Analysis Tool RAT RATSY extends RAT in several ways First, it includes a new graphical user interface to specify system properties as simple Buchi word automata Second, it can help debug incorrect specifications by means of a game-based approach Third, it allows correct-by-construction synthesis of systems from their temporal properties These new features and their seamless integration assist in property-based design processes.


Automatica | 2017

Stability proof for a well-established super-twisting parameter setting

Richard Seeber; Martin Horn

Abstract Several sufficient stability conditions exist for the super-twisting algorithm. For its tuning in practical applications, however, a popular parameter set is regularly used, which is provided in literature without any stability proof. This short note provides a novel, simple sufficient stability condition which includes this very popular parameter setting.


At-automatisierungstechnik | 2014

Erweiterung eines modellbasierten Regelungskonzepts für Biomassefeuerungsanlagen

Richard Seeber; Markus Gölles; Thomas Brunner; Nicolaos Dourdoumas; Ingwald Obernberger

Zusammenfassung Dieser Beitrag stellt die Weiterentwicklung eines erprobten, modellbasierten Regelungskonzepts für eine Biomassefeuerungsanlage dar. Das zur Zustandsschätzung eingesetzte Erweiterte Kalman-Filter wird um Formfilter und Sensormodelle ergänzt, um unter anderem die Auswirkungen von Schwankungen des Brennstoffabbaus zu berücksichtigen. Das verwendete Regelgesetz zur exakten Linearisierung wird dahingehend modifiziert, dass vom Kalman-Filter geschätzte Störgrößen verwendet werden. Abschließend werden die Modifikationen im Rahmen von Versuchen an einer realen Anlage verifiziert.


At-automatisierungstechnik | 2017

Ein Modalmaß für Beobachtbarkeit und perspektivische Beobachtbarkeit linearer zeitinvarianter Systeme

Richard Seeber; Nicolaos Dourdoumas; Martin Horn

Zusammenfassung Das Modalmaß nach Litz stellt eine einfache Möglichkeit zur quantitativen Bewertung der Beobachtbarkeit eines Systems dar. Einen durch mehrfache Eigenwerte verursachten Beobachtbarkeitsverlust zeigt es jedoch mitunter nicht korrekt an. Vorliegender Beitrag schlägt eine Erweiterung vor, welche dieses Problem behebt. Im Weiteren wird gezeigt, dass sich das modifizierte Maß leicht auf die perspektivische Beobachtbarkeit erweitern lässt. Die praktische Anwendbarkeit des erweiterten Maßes wird anhand eines anschaulichen Beispiels demonstriert.


european control conference | 2015

Control of a biomass-furnace based on input-output-linearization

Christoph Schörghuber; Markus Reichhartinger; Martin Horn; Markus Gölles; Richard Seeber

The operation of modern biomass combustion plants with high efficiencies and low emissions requires advanced control strategies. In this paper the controller design for a medium-scale biomass furnace based on input-output-linearization is presented. A fourth order nonlinear model with four inputs and four outputs forms the basis for controller design. Due to a time-delayed input the stabilization of the internal dynamics is challenging. Two stabilization methods are suggested and a stability analysis is given. Finally, experimental results are presented and discussed.


Control Engineering Practice | 2019

Reference Shaping for Model-Based Control of Biomass Grate Boilers

Richard Seeber; Markus Gölles; Nicolaos Dourdoumas; Martin Horn


international workshop on variable structure systems | 2018

Necessary and sufficient stability criterion for the super-twisting algorithm

Richard Seeber; Martin Horn


advances in computing and communications | 2018

Control-Oriented Modelling of the Transient Behaviour of Hydrodynamic Couplings: A State-Space Approach

Klemens Kranawetter; Richard Seeber; Robert Bauer; Martin Horn


IEEE Transactions on Automatic Control | 2018

A Novel Method to Estimate the Reaching Time of the Super-Twisting Algorithm

Richard Seeber; Martin Horn; Leonid Fridman


IEEE Transactions on Automatic Control | 2018

A Lyapunov Function for an Extended Super-Twisting Algorithm

Richard Seeber; Markus Reichhartinger; Martin Horn

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Martin Horn

Graz University of Technology

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Nicolaos Dourdoumas

Graz University of Technology

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Markus Reichhartinger

Graz University of Technology

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Georg Hofferek

Graz University of Technology

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Ingwald Obernberger

Graz University of Technology

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Karin Greimel

Graz University of Technology

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Klemens Kranawetter

Graz University of Technology

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Robert Könighofer

Graz University of Technology

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Roderick Bloem

Graz University of Technology

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