Dragan Obradovic

41 papers B 3C 2Misc 5Journal 14Unranked 16

Year	Rank	Type	Title / Venue / Authors
2021	Misc	`conf`	Real-time, Simulation-based Identification of Cyber-Security Attacks of Industrial Plants. CSR Abhi Patel, Tim Schenk, Steffi Knorn, Heiko Patzlaff, Dragan Obradovic, Andrés Botero Halblaub
2020	—	`conf`	Stage Cost Formulations of Online Rainflow-counting for Model Predictive Control of Fatigue. ECC Stefan Löw, Dragan Obradovic, Abhinav Anand, Andrei Szabo
2019	—	`conf`	Direct Online Rainflow-counting and Indirect Fatigue Penalization Methods for Model Predictive Control. ECC Stefan Löw, Dragan Obradovic, Carlo L. Bottasso
2019	—	`conf`	Optimal Control of a Fleet of AGVs on a Rectangular Grid: a MILP-based Approach. CASE Jingjie Jiang, Dragan Obradovic
2018	—	`conf`	Real-time Implementation of Nonlinear Model Predictive Control for Mechatronic Systems Using a Hybrid Model. CASE Stefan Löw, Dragan Obradovic
2015	J	`jnl`	Overview of recent control technologies for future power systems. Autom. Ulrich Münz, Michael Metzger, Andrei Szabo, Markus Reischböck, Florian Steinke, Philipp Wolfrum, Rudolf Sollacher, Dragan Obradovic, Michael Buhl, Thomas Lehmann, Mathias Duckheim, Stefan Langemeyer
2012	C	`conf`	Quasi-stationarity of electric power grid dynamics based on a spatially embedded Kuramoto model. ACC Herbert Mangesius, Sandra Hirche, Dragan Obradovic
2011	J	`jnl`	State Estimation and Branch Current Learning Using Independent Local Kalman Filter With Virtual Disturbance Model. IEEE Trans. Instrum. Meas. Junqi Liu, Andrea Benigni, Dragan Obradovic, Sandra Hirche, Antonello Monti
2010	C	`conf`	Optimal Estimation and Control of Clock Synchronization Following the Precision Time Protocol. CCA Chongning Na, Philipp Wolfrum, Dragan Obradovic, Ruxandra Lupas Scheiterer
2010	—	`conf`	State estimation and learning of unknown branch current flows using decentralized Kalman filter with virtual disturbance model. AMPS Junqi Liu, Andrea Benigni, Dragan Obradovic, Sandra Hirche, Antonello Monti
2009	Misc	`conf`	A probabilistic approach to clock synchronization of cascaded network elements. ICASSP Chongning Na, Dragan Obradovic, Ruxandra Lupas Scheiterer
2009	J	`jnl`	Synchronization Performance of the Precision Time Protocol in Industrial Automation Networks. IEEE Trans. Instrum. Meas. Ruxandra Lupas Scheiterer, Chongning Na, Dragan Obradovic, Günter Steindl
2008	—	`conf`	Clock Synchronization in Industrial Automation Networks - Comparison of Different Syntonization Methods. ICINCO-RA (1) Dragan Obradovic, Ruxandra Lupas Scheiterer, Chongning Na, Günter Steindl, Franz-Josef Goetz
2008	J	`jnl`	EM-based semi-blind channel estimation method for MIMO-OFDM communication systems. Neurocomputing Dragan Obradovic, Chongning Na, Ruxandra Lupas Scheiterer, Andrei Szabo
2008	—	`conf`	Fourier density approximation for belief propagation in wireless sensor networks. MFI Chongning Na, Hui Wang, Dragan Obradovic, Uwe D. Hanebeck
2008	J	`jnl`	Signal Processing EM based channel estimation method for MIMO-OFDM systems. Eur. Trans. Telecommun. Chongning Na, Dragan Obradovic, Andrei Szabo
2008	—	`conf`	Synchronization performance of the Precision Time Protocol in the face of slave clock frequency drift. CASE Ruxandra Lupas Scheiterer, Chongning Na, Dragan Obradovic, Günter Steindl, Dragan Goetz
2007	J	`jnl`	Fusion of Sensor Data in Siemens Car Navigation System. IEEE Trans. Veh. Technol. Dragan Obradovic, Henning Lenz, Markus Schupfner
2007	J	`jnl`	Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge. J. VLSI Signal Process. Ruxandra Lupas Scheiterer, Dragan Obradovic, Volker Tresp
2007	—	`conf`	Variable sampling rate in networked control systems. ALCOSP Da Xu, Chih-Chung Chen, Dragan Obradovic, Bernhard Lang
2006	—	`conf`	A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application. MFI Mo Chen, David Sommer, Su Lee Goh, Temujin Gautama, Dragan Obradovic, Martin Golz, Mary J. Morrell, Hui Wang, Danilo P. Mandic
2006	—	`conf`	EM-based enhancement of the Wiener Pilot-Aided Channel Estimation in MIMO-OFDM systems. EUSIPCO Dragan Obradovic, Andrei Szabo, Chongning Na
2006	J	`jnl`	Fusion of Map and Sensor Data in a Modern Car Navigation System. J. VLSI Signal Process. Dragan Obradovic, Henning Lenz, Markus Schupfner
2005	—	`conf`	Bayesian Network Modeling Aspects Resulting from Applications in Medical Diagnostics and GSM Troubleshooting. ICANN (2) Ruxandra Scheiterer, Dragan Obradovic
2005	—	`conf`	Data Fusion for Modern Engineering Applications: An Overview. ICANN (2) 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
2005	—	`conf`	Troubleshooting in GSM Mobile Telecommunication Networks Based on Domain Model and Sensory Information. ICANN (2) Dragan Obradovic, Ruxandra Scheiterer
2004	B	`conf`	Independent component analysis for semi-blind signal separation in MIMO mobile frequency selective communication channels. IJCNN Dragan Obradovic, Nilesh Madhu, Andrei Szabo, Chiu Shun Wong
2003	—	`conf`	Independent component analysis (ICA) for blind equalization of frequency selective channels. NNSP Chiu Shun Wong, Dragan Obradovic, Nilesh Madhu
2000	—	`conf`	Stability and Performance Robustness Issues in Neural Network Feedback Linearization. IJCNN (1) Dragan Obradovic
1999	B	`conf`	Distribution comparison for site-specific regression modeling in agriculture. IJCNN Dragoljub Pokrajac, Tim Fiez, Dragan Obradovic, Stephen Kwek, Zoran Obradovic
1999	Misc	`conf`	Dynamic signal mixtures and blind source separation. ICASSP Dragan Obradovic
1999	B	`conf`	Efficient probability density balancing for supporting distributed knowledge discovery in large databases. IJCNN Dragan Obradovic, Zoran Obradovic
1998	J	`jnl`	Information Maximization and Independent Component Analysis: Is There a Difference? Neural Comput. Dragan Obradovic, Gustavo Deco
1997	Misc	`conf`	Unsupervised learning for blind source separation: an information-theoretic approach. ICASSP Dragan Obradovic, Gustavo Deco
1996	J	`jnl`	An information theory based learning paradigm for linear feature extraction. Neurocomputing Dragan Obradovic, Gustavo Deco
1996	—	`book`	An information-theoretic approach to neural computing. Gustavo Deco, Dragan Obradovic
1996	J	`jnl`	On-line training of recurrent neural networks with continuous topology adaptation. IEEE Trans. Neural Networks Dragan Obradovic
1995	J	`jnl`	Decorrelated Hebbian Learning for Clustering and Function Approximation. Neural Comput. Gustavo Deco, Dragan Obradovic
1995	J	`jnl`	Linear redundancy reduction learning. Neural Networks Gustavo Deco, Dragan Obradovic
1993	Misc	`conf`	Application of Neural Networks in Pulp Production. KI Dragan Obradovic, Gustavo Deco, Herbert Furumoto, C. Fricke
1992	J	`jnl`	Stability and performance in the presence of magnitude bounded real uncertainty: Riccati equation based state space approaches. Autom. Dragan Obradovic, Lena S. Valavani