Dragan Obradovic

Publication Activity (10 Years)

Years Active: 1992-2021
Publications (10 Years): 5

Top Topics

Mixed Integer Linear

Model Predictive Control

Top Venues

Publications

Abhi Patel, Tim Schenk, Steffi Knorn, Heiko Patzlaff, Dragan Obradovic, Andrés Botero Halblaub
Real-time, Simulation-based Identification of Cyber-Security Attacks of Industrial Plants. CSR (2021)
Stefan Löw, Dragan Obradovic, Abhinav Anand, Andrei Szabo
Stage Cost Formulations of Online Rainflow-counting for Model Predictive Control of Fatigue. ECC (2020)
Jingjie Jiang, Dragan Obradovic
Optimal Control of a Fleet of AGVs on a Rectangular Grid: a MILP-based Approach. CASE (2019)
Stefan Löw, Dragan Obradovic, Carlo L. Bottasso
Direct Online Rainflow-counting and Indirect Fatigue Penalization Methods for Model Predictive Control. ECC (2019)
Stefan Löw, Dragan Obradovic
Real-time Implementation of Nonlinear Model Predictive Control for Mechatronic Systems Using a Hybrid Model. CASE (2018)
Ulrich Münz, Michael Metzger, Andrei Szabo, Markus Reischböck, Florian Steinke, Philipp Wolfrum, Rudolf Sollacher, Dragan Obradovic, Michael Buhl, Thomas Lehmann, Mathias Duckheim, Stefan Langemeyer
Overview of recent control technologies for future power systems. Autom. 63 (11) (2015)
Herbert Mangesius, Sandra Hirche, Dragan Obradovic
Quasi-stationarity of electric power grid dynamics based on a spatially embedded Kuramoto model. ACC (2012)
Junqi Liu, Andrea Benigni, Dragan Obradovic, Sandra Hirche, Antonello Monti
State Estimation and Branch Current Learning Using Independent Local Kalman Filter With Virtual Disturbance Model. IEEE Trans. Instrum. Meas. 60 (9) (2011)
Junqi Liu, Andrea Benigni, Dragan Obradovic, Sandra Hirche, Antonello Monti
State estimation and learning of unknown branch current flows using decentralized Kalman filter with virtual disturbance model. AMPS (2010)
Chongning Na, Philipp Wolfrum, Dragan Obradovic, Ruxandra Lupas Scheiterer
Optimal Estimation and Control of Clock Synchronization Following the Precision Time Protocol. CCA (2010)
Chongning Na, Dragan Obradovic, Ruxandra Lupas Scheiterer
A probabilistic approach to clock synchronization of cascaded network elements. ICASSP (2009)
Ruxandra Lupas Scheiterer, Chongning Na, Dragan Obradovic, Günter Steindl
Synchronization Performance of the Precision Time Protocol in Industrial Automation Networks. IEEE Trans. Instrum. Meas. 58 (6) (2009)
Dragan Obradovic, Chongning Na, Ruxandra Lupas Scheiterer, Andrei Szabo
EM-based semi-blind channel estimation method for MIMO-OFDM communication systems. Neurocomputing 71 (10-12) (2008)
Dragan Obradovic, Ruxandra Lupas Scheiterer, Chongning Na, Günter Steindl, Franz-Josef Goetz
Clock Synchronization in Industrial Automation Networks - Comparison of Different Syntonization Methods. ICINCO-RA (1) (2008)
Ruxandra Lupas Scheiterer, Chongning Na, Dragan Obradovic, Günter Steindl, Dragan Goetz
Synchronization performance of the Precision Time Protocol in the face of slave clock frequency drift. CASE (2008)
Chongning Na, Dragan Obradovic, Andrei Szabo
Signal Processing EM based channel estimation method for MIMO-OFDM systems. Eur. Trans. Telecommun. 19 (8) (2008)
Chongning Na, Hui Wang, Dragan Obradovic, Uwe D. Hanebeck
Fourier density approximation for belief propagation in wireless sensor networks. MFI (2008)
Ruxandra Lupas Scheiterer, Dragan Obradovic, Volker Tresp
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge. J. VLSI Signal Process. 49 (2) (2007)
Dragan Obradovic, Henning Lenz, Markus Schupfner
Fusion of Sensor Data in Siemens Car Navigation System. IEEE Trans. Veh. Technol. 56 (1) (2007)
Da Xu, Chih-Chung Chen, Dragan Obradovic, Bernhard Lang
Variable sampling rate in networked control systems. ALCOSP (2007)
Dragan Obradovic, Henning Lenz, Markus Schupfner
Fusion of Map and Sensor Data in a Modern Car Navigation System. J. VLSI Signal Process. 45 (1-2) (2006)
Mo Chen, David Sommer, Su Lee Goh, Temujin Gautama, Dragan Obradovic, Martin Golz, Mary J. Morrell, Hui Wang, Danilo P. Mandic
A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application. MFI (2006)
Dragan Obradovic, Andrei Szabo, Chongning Na
EM-based enhancement of the Wiener Pilot-Aided Channel Estimation in MIMO-OFDM systems. EUSIPCO (2006)
Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tülay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde, Javier A. Barria, Anthony G. Constantinides, Jonathon A. Chambers
Data Fusion for Modern Engineering Applications: An Overview. ICANN (2) (2005)
Dragan Obradovic, Ruxandra Scheiterer
Troubleshooting in GSM Mobile Telecommunication Networks Based on Domain Model and Sensory Information. ICANN (2) (2005)
Ruxandra Scheiterer, Dragan Obradovic
Bayesian Network Modeling Aspects Resulting from Applications in Medical Diagnostics and GSM Troubleshooting. ICANN (2) (2005)
Dragan Obradovic
Stability and Performance Robustness Issues in Neural Network Feedback Linearization. IJCNN (1) (2000)
Dragan Obradovic, Zoran Obradovic
Efficient probability density balancing for supporting distributed knowledge discovery in large databases. IJCNN (1999)
Dragoljub Pokrajac, Tim Fiez, Dragan Obradovic, Stephen Kwek, Zoran Obradovic
Distribution comparison for site-specific regression modeling in agriculture. IJCNN (1999)
Dragan Obradovic
Dynamic signal mixtures and blind source separation. ICASSP (1999)
Dragan Obradovic, Gustavo Deco
Information Maximization and Independent Component Analysis: Is There a Difference? Neural Comput. 10 (8) (1998)
Dragan Obradovic, Gustavo Deco
Unsupervised learning for blind source separation: an information-theoretic approach. ICASSP (1997)
Dragan Obradovic
On-line training of recurrent neural networks with continuous topology adaptation. IEEE Trans. Neural Networks 7 (1) (1996)
Dragan Obradovic, Gustavo Deco
An information theory based learning paradigm for linear feature extraction. Neurocomputing 12 (2-3) (1996)
Gustavo Deco, Dragan Obradovic
Linear redundancy reduction learning. Neural Networks 8 (5) (1995)
Gustavo Deco, Dragan Obradovic
Decorrelated Hebbian Learning for Clustering and Function Approximation. Neural Comput. 7 (2) (1995)
Dragan Obradovic, Gustavo Deco, Herbert Furumoto, C. Fricke
Application of Neural Networks in Pulp Production. KI (1993)
Dragan Obradovic, Lena S. Valavani
Stability and performance in the presence of magnitude bounded real uncertainty: Riccati equation based state space approaches. Autom. 28 (4) (1992)