Andreas Schwung

145 papers B 4C 35Journal 73Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flexible Manufacturing Systems Intralogistics: Dynamic Optimization of AGVs and Tool Sharing Using Coloured-Timed Petri Nets and Actor-Critic RL with Actions Masking. CoRR Sofiene Lassoued, Laxmikant Shrikant Baheti, Nathalie Weiß-Borkowski, Stefan Lier, Andreas Schwung
2026	J	`jnl`	Integrating Deep Model-Based Learning With Modular State-Based Stackelberg Games for Self-Optimizing Distributed Production Systems. IEEE Trans. Cybern. Steve Yuwono, Andreas Schwung, Dorothea Schwung
2026	J	`jnl`	Layer-Specific Lipschitz Modulation for Fault-Tolerant Multimodal Representation Learning. CoRR Diyar Altinses, Andreas Schwung
2026	J	`jnl`	Lipschitz-controlled attention fusion for stable multimodal autoencoders in industrial robotics and manufacturing. Expert Syst. Appl. Diyar Altinses, Andreas Schwung
2026	J	`jnl`	Non-destructive evaluation of material hardness using micromagnetic sensors and complex neural networks. Appl. Intell. Diyar Altinses, David Orlando Salazar Torres, Viktor Holstein, Matthias Hermes, Andreas Schwung
2026	J	`jnl`	Policy-Based Deep Reinforcement Learning Hyperheuristics for Job-Shop Scheduling Problems. CoRR Sofiene Lassoued, Asrat Mekonnen Gobachew, Stefan Lier, Andreas Schwung
2026	J	`jnl`	Policy-Based Reinforcement Learning with Action Masking for Dynamic Job Shop Scheduling under Uncertainty: Handling Random Arrivals and Machine Failures. CoRR Sofiene Lassoued, Stefan Lier, Andreas Schwung
2026	J	`jnl`	Prior-Informed Neural Network Initialization: A Spectral Approach for Function Parameterizing Architectures. CoRR David Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
2025	C	`conf`	Bridging the Gap Between Simulations and Reality: A CycleGAN-Based Approach for Drone Landing Systems. CoDIT Diyar Altinses, David Orlando Salazar Torres, Andreas Schwung
2025	J	`jnl`	Continual learning by gradient monitoring for remaining useful lifetime estimation. Knowl. Based Syst. Sayed Rafay Bin Shah, Andreas Schwung
2025	—	`conf`	Data Imputation Techniques Using the Bag of Functions: Addressing Variable Input Lengths and Missing Data in Time Series Decomposition. ICIT David Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
2025	J	`jnl`	Data driven feedback linearization of nonlinear control systems via Lie derivatives and stacked regression approach. CoRR P. K. Lakshmi Priya, Andreas Schwung
2025	J	`jnl`	Distributed Stackelberg Strategies in State-Based Potential Games for Autonomous Decentralized Learning Manufacturing Systems. IEEE Trans. Syst. Man Cybern. Syst. Steve Yuwono, Dorothea Schwung, Andreas Schwung
2025	C	`conf`	Enhancing Fault Tolerance in Multimodal Learning: A VAE-Based Approach with Probabilistic Fusion. CoDIT Diyar Altinses, Andreas Schwung
2025	J	`jnl`	ITF-VAE: Variational Auto-Encoder Using Interpretable Continuous Time Series Features. IEEE Trans. Artif. Intell. Hendrik Klopries, Andreas Schwung
2025	J	`jnl`	KineNN: Kinematic Neural Network for inverse model policy based on homogeneous transformation matrix and dual quaternion. Robotics Comput. Integr. Manuf. Mochammad Rizky Diprasetya, Johannes Pöppelbaum, Andreas Schwung
2025	J	`jnl`	Learnable Petri Net Neural Network Using Max-Plus Algebra. Mach. Learn. Knowl. Extr. Mohammed Sharafath Abdul Hameed, Sofiene Lassoued, Andreas Schwung
2025	—	`conf`	Neural Data Fusion Enhanced PD Control for Precision Drone Landing in Synthetic Environments. ICM Diyar Altinses, David Orlando Salazar Torres, Stefan Lier, Andreas Schwung
2025	—	`conf`	Online-Adaptive Data Stream Processing via Cascaded and Reverse Adaptation. ICPS Detlef Arend, Andreas Schwung
2025	C	`conf`	Online-adaptive PID control using Reinforcement Learning. CoDIT Detlef Arend, Amerik Toni Singh Padda, Andreas Schwung, Dorothea Schwung
2025	J	`jnl`	Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theory. CoRR Steve Yuwono, Muhammad Uzair Rana, Dorothea Schwung, Andreas Schwung
2025	J	`jnl`	Stability Analysis of Soft Sensor-Based Control Systems-A Luré-Postnikov Approach Using a Novel Gated Recurrent Neural Network. CoRR Eric Hilgert, Andreas Schwung
2025	J	`jnl`	Stabilizing Multimodal Autoencoders: A Theoretical and Empirical Analysis of Fusion Strategies. CoRR Diyar Altinses, Andreas Schwung
2025	J	`jnl`	Time series compression using quaternion valued neural networks and quaternion backpropagation. Neural Networks Johannes Pöppelbaum, Andreas Schwung
2025	J	`jnl`	Toward more effective bag-of-functions architectures: Exploring initialization and sparse parameter representation. Knowl. Based Syst. David Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
2025	—	`conf`	Towards Agile Factory Automation: Integrating ABB Robot Manipulators, 3D Machine Vision Cameras, and Robot Operating System. ICARA Steve Yuwono, Marlon Löppenberg, Jakob Steenweg, Carsten Cruse, Andreas Schwung
2024	J	`jnl`	AWADA: Foreground-focused adversarial learning for cross-domain object detection. Comput. Vis. Image Underst. Maximilian Menke, Thomas Wenzel, Andreas Schwung
2024	J	`jnl`	Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification. IEEE Access Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung
2024	—	`conf`	Bag-of-Future: Time Series Forecasting by Continuous Function Candidates. ISIE Hendrik Klopries, Vignesh Chandramouli, Andreas Schwung
2024	J	`jnl`	Bridging the gap: Active learning for efficient domain adaptation in object detection. Expert Syst. Appl. Maximilian Menke, Thomas Wenzel, Andreas Schwung
2024	J	`jnl`	Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems. CoRR Steve Yuwono, Dorothea Schwung, Andreas Schwung
2024	J	`jnl`	Dynamic robot routing optimization: State-space decomposition for operations research-informed reinforcement learning. Robotics Comput. Integr. Manuf. Marlon Löppenberg, Steve Yuwono, Mochammad Rizky Diprasetya, Andreas Schwung
2024	—	`conf`	Foreign Object Separation in Bulk Good Systems Using Machine Learning and Image Processing. ICIT Marlon Löppenberg, Hendrik Klopries, Jonas Bartsch, Andreas Schwung
2024	C	`conf`	Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. IECON Steve Yuwono, Marlon Löppenberg, Dorothea Schwung, Andreas Schwung
2024	J	`jnl`	Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. CoRR Steve Yuwono, Marlon Löppenberg, Dorothea Schwung, Andreas Schwung
2024	J	`jnl`	ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features. Knowl. Based Syst. Hendrik Klopries, Andreas Schwung
2024	J	`jnl`	Impact of Evidence Theory Uncertainty on Training Object Detection Models. CoRR M. Tahasanul Ibrahim, Rifshu Hussain Shaik, Andreas Schwung
2024	J	`jnl`	Improving Quaternion Neural Networks with Quaternionic Activation Functions. CoRR Johannes Pöppelbaum, Andreas Schwung
2024	J	`jnl`	Improving quaternion neural networks with quaternionic activation functions. Knowl. Based Syst. Johannes Pöppelbaum, Andreas Schwung
2024	J	`jnl`	Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning. CoRR Sofiene Lassoued, Andreas Schwung
2024	J	`jnl`	MLPro-GT-game theory and dynamic games modeling in Python. SoftwareX Steve Yuwono, Detlef Arend, Andreas Schwung
2024	C	`conf`	Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks. CoDIT Rizky M. Diprasetya, Ali Nafih Pullani, Andreas Schwung, Dorothea Schwung
2024	—	`conf`	Node Reservation Based Incremental Learning Network for Object Detection. ICIT M. Tahasanul Ibrahim, Nikhil Limaye, Andreas Schwung
2024	J	`jnl`	Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach. CoRR Sasa Ilic, Abdulkerim Karaman, Johannes Pöppelbaum, Jan Niclas Reimann, Michael Marré, Andreas Schwung
2024	—	`conf`	Representation Learning and Knowledge Distillation for Lightweight Domain Adaptation. CAI Sayed Rafay Bin Shah, Shreyas Subhash Putty, Andreas Schwung
2024	J	`jnl`	Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games. CoRR Steve Yuwono, Ahmar Kamal Hussain, Dorothea Schwung, Andreas Schwung
2024	—	`conf`	Sim-to-Real Transfer for Robotics Using Model-Free Curriculum Reinforcement Learning. ICIT Mochammad Rizky Diprasetya, Ali Nafih Pullani, Andreas Schwung
2024	C	`conf`	Structured Graph Generation by Evolutionary Algorithm for Program Code Development. IECON Marlon Löppenberg, Andreas Schwung
2024	J	`jnl`	Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation. CoRR Johannes Pöppelbaum, Andreas Schwung
2024	J	`jnl`	Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems. CoRR Steve Yuwono, Dorothea Schwung, Andreas Schwung
2023	C	`conf`	A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems. ETFA Steve Yuwono, Andreas Schwung
2023	J	`jnl`	Anomaly Detection Using Ensemble Classification and Evidence Theory. IEEE Access Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung
2023	—	`conf`	Bag-of-Functions Denoising: Extracting main components in time series. ISIE Hendrik Klopries, Andreas Schwung
2023	C	`conf`	Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization. IECON Diyar Altinses, Andreas Schwung
2023	J	`jnl`	Extracting interpretable features for time series analysis: A Bag-of-Functions approach. Expert Syst. Appl. Hendrik Klopries, Andreas Schwung
2023	—	`conf`	Flexible Activation Bag: Learning Activation Functions in Autoencoder Networks. ICIT Hendrik Klopries, Andreas Schwung
2023	J	`jnl`	Gradient Monitored Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
2023	C	`conf`	Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation. IV Maximilian Menke, Thomas Wenzel, Andreas Schwung
2023	J	`jnl`	Information Fusion for Assistance Systems in Production Assessment. CoRR Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung
2023	C	`conf`	Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. INDIN Mochammad Rizky Diprasetya, Steve Yuwono, Marlon Löppenberg, Andreas Schwung
2023	J	`jnl`	MLPro-MPPS - A high-performance simulation framework for customizable production systems. Softw. Impacts Steve Yuwono, Marlon Löppenberg, Detlef Arend, Mochammad Rizky Diprasetya, Andreas Schwung
2023	—	`conf`	Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications. MED Steve Yuwono, Andreas Schwung
2023	C	`conf`	Multimodal Synthetic Dataset Balancing: a Framework for Realistic and Balanced Training Data Generation in Industrial Settings. IECON Diyar Altinses, Andreas Schwung
2023	J	`jnl`	PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies. IEEE Trans. Cybern. Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding
2023	C	`conf`	Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. INDIN Marlon Löppenberg, Andreas Schwung
2023	J	`jnl`	Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. CoRR Marlon Löppenberg, Andreas Schwung
2023	B	`conf`	Stability-Guaranteed Control Systems with Min-Max Constraints and Machine Learning-Based Virtual Sensors. SMC Eric Hilgert, Andreas Schwung
2022	J	`jnl`	AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection. CoRR Maximilian Menke, Thomas Wenzel, Andreas Schwung
2022	J	`jnl`	Adopting attention-mechanisms for Neural Logic Rule Layers. Autom. Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
2022	J	`jnl`	Anomaly Detection using Ensemble Classification and Evidence Theory. CoRR Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung
2022	J	`jnl`	Contrastive learning based self-supervised time-series analysis. Appl. Soft Comput. Johannes Pöppelbaum, Gavneet Singh Chadha, Andreas Schwung
2022	C	`conf`	Curriculum Learning in Peristaltic Sortation Machine. INDIN Mohammed Sharafath Abdul Hameed, Venkata Harshit Koneru, Johannes Pöppelbaum, Andreas Schwung
2022	J	`jnl`	Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach. IEEE Trans. Cybern. Dorothea Schwung, Andreas Schwung, Steven X. Ding
2022	—	`conf`	Homogeneous Transformation Matrix Based Neural Network for Model Based Reinforcement Learning on Robot Manipulator. ICIT Mochammad Rizky Diprasetya, Andreas Schwung
2022	—	`conf`	Improving GAN-based Domain Adaptation for Object Detection. ITSC Maximilian Menke, Thomas Wenzel, Andreas Schwung
2022	J	`jnl`	MLPro - An integrative middleware framework for standardized machine learning tasks in Python. Softw. Impacts Detlef Arend, Mochammad Rizky Diprasetya, Steve Yuwono, Andreas Schwung
2022	J	`jnl`	Neural logic rule layers. Inf. Sci. Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
2022	J	`jnl`	Predicting Rigid Body Dynamics Using Dual Quaternion Recurrent Neural Networks With Quaternion Attention. IEEE Access Johannes Pöppelbaum, Andreas Schwung
2022	J	`jnl`	Production Assessment Using a Knowledge Transfer Framework and Evidence Theory. IEEE Access Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung
2022	J	`jnl`	Production Assessment using a Knowledge Transfer Framework and Evidence Theory. CoRR Fernando Arévalo N., Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung
2022	J	`jnl`	Quaternion Backpropagation. CoRR Johannes Pöppelbaum, Andreas Schwung
2022	J	`jnl`	Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation. IEEE Access Gavneet Singh Chadha, Sayed Rafay Bin Shah, Andreas Schwung, Steven X. Ding
2022	—	`conf`	Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks. ICPRAM (Revised Selected Papers) Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding
2022	C	`conf`	Synthetic time series dataset generation for unsupervised autoencoders. ETFA Hendrik Klopries, David Orlando Salazar Torres, Andreas Schwung
2022	C	`conf`	The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. INDIN Steve Yuwono, Andreas Schwung, Dorothea Schwung
2021	J	`jnl`	A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM. Intell. Syst. Appl. Sayed Rafay Bin Shah, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
2021	—	`conf`	Curiosity Based RL on Robot Manufacturing Cell. ICIT Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung
2021	J	`jnl`	Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning. Comput. Chem. Eng. Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding
2021	J	`jnl`	Deep Convolutional Clustering-Based Time Series Anomaly Detection. Sensors Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, Steven X. Ding
2021	C	`conf`	Disease Prediction Based on Individual's Medical History Using CNN. ICMLA Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung
2021	C	`conf`	Generalized Dilation Structures in Convolutional Neural Networks. ICPRAM Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung
2021	J	`jnl`	Generalized dilation convolutional neural networks for remaining useful lifetime estimation. Neurocomputing Gavneet Singh Chadha, Utkarsh Panara, Andreas Schwung, Steven X. Ding
2021	—	`conf`	Knowledge Internalization using Virtual Training on the HoloLens. ICIT Fernando Arévalo N., Christian Alison M. Piolo, Joachim Arens, Andreas Schwung, Matthias Hermes
2021	—	`conf`	Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application. SA Fernando Arévalo N., M. Tahasanul Ibrahim, Rizky M. Diprasetya, Omar Otoniel Flores, Andreas Schwung
2021	—	`conf`	Rigid Body Movement Prediction Using Dual Quaternion Recurrent Neural Networks. ICIT Andreas Schwung, Johannes Pöppelbaum, Pradeep C. Nutakki
2020	J	`jnl`	Curiosity Based Reinforcement Learning on Robot Manufacturing Cell. CoRR Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung
2020	C	`conf`	Data-based control of Peristaltic Sortation Machines using Discrete Element Method. IECON Fabian Westbrink, Andreas Schwung, Steven X. Ding
2020	J	`jnl`	Gradient Monitored Reinforcement Learning. CoRR Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding
2020	—	`conf`	How to get a Parcel surfing. AIM Fabian Westbrink, Andreas Schwung, Steven X. Ding
2020	—	`conf`	Interactive Visual Procedure using an extended FMEA and Mixed-Reality. ICIT Fernando Arévalo, Dimitri Sunaringtyas, Cristhian Tito, Christian Piolo, Andreas Schwung
2020	—	`conf`	Permutation Learning in Convolutional Neural Networks for Time-Series Analysis. ICANN (1) Gavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding
2020	J	`jnl`	Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention. CoRR Johannes Pöppelbaum, Andreas Schwung
2020	J	`jnl`	Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks. CoRR Mohammed Sharafath Abdul Hameed, Andreas Schwung
2020	C	`conf`	Remaining Useful Lifetime Estimation with Sobolev Training. ETFA Gavneet Singh Chadha, S. M. Nazmus Sakeib, Andreas Schwung
2019	J	`jnl`	Actor-Critic Reinforcement Learning for Energy Optimization in Hybrid production Environments. Int. J. Comput. Dorothea Schwung, Andreas Schwung, Steven X. Ding
2019	C	`conf`	Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes. INDIN Gavneet Singh Chadha, Arfyan Rabbani, Andreas Schwung
2019	C	`conf`	Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches. INDIN Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed
2019	—	`conf`	Design approach and simulation of a peristaltic sortation machine. AIM Fabian Westbrink, Roshin Sivanandan, Thomas Schütte, Andreas Schwung
2019	C	`conf`	Fault Detection Assessment using an extended FMEA and a Rule-based Expert System. INDIN Fernando Arévalo, Cristhian Tito, Mochammad Rizky Diprasetya, Andreas Schwung
2019	J	`jnl`	Generalized Dilation Neural Networks. CoRR Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung
2019	J	`jnl`	Learning the Non-linearity in Convolutional Neural Networks. CoRR Gavneet Singh Chadha, Andreas Schwung
2019	J	`jnl`	Neural Logic Rule Layers. CoRR Jan Niclas Reimann, Andreas Schwung
2019	C	`conf`	Potential Game based Distributed Optimization of Modular Production Units. INDIN Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
2019	—	`conf`	Regularizing Neural Networks with Gradient Monitoring. INNSBDDL Gavneet Singh Chadha, Elnaz Meydani, Andreas Schwung
2019	B	`conf`	Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning. SMC Dorothea Schwung, Madhav Modali, Andreas Schwung
2019	C	`conf`	Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks. IECON Gavneet Singh Chadha, Monica Krishnamoorthy, Andreas Schwung
2019	—	`conf`	Traffic Sign Detection Using R-CNN. INNSBDDL Philipp Rehlaender, Maik Schroeer, Gavneet Singh Chadha, Andreas Schwung
2018	C	`conf`	A Cloud-based Architecture for Condition Monitoring based on Machine Learning. INDIN Fernando Arévalo, Mochammad Rizky Diprasetya, Andreas Schwung
2018	C	`conf`	Development of a Mobile App for Fault Detection Assessment based on Information Fusion. INDIN Fernando Arévalo, Enzo Oestanto, Andreas Schwung
2018	C	`conf`	Fault Detection Assessment Architectures based on Classification Methods and Information Fusion. ETFA Fernando Arévalo, Juan Rernenteria, Andreas Schwung
2018	—	`conf`	Integrated IPC for data-driven fault detection. ICPS Fabian Westbrink, Gavneet Singh Chadha, Andreas Schwung
2018	—	`conf`	On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning. IEEE Conf. on Intelligent Systems Dorothea Schwung, Andreas Schwung, Steven X. Ding
2018	—	`conf`	Optimal dosing of bulk material using mass-flow estimation and DEM simulation. ICIT Gavneet Singh Chadha, Fabian Westbrink, Thomas Schütte, Andreas Schwung
2018	—	`conf`	Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach. IEEE Conf. on Intelligent Systems Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
2018	C	`conf`	Virtual Commissioning Approach based on the Discrete Element Method. INDIN Fabian Westbrink, Andreas Schwung
2017	—	`conf`	A Novel Predictive Energy Management System. EMS Philipp Rehlaender, Philipp Kemper, Andreas Schwung, Ulf Witkowski
2017	C	`conf`	An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation. INDIN Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding
2017	C	`conf`	Assistance system for a bulk good system based on information fusion. ETFA Fernando Arévalo, Tin Nguyen, Andreas Schwung
2017	C	`conf`	Comparison of deep neural network architectures for fault detection in Tennessee Eastman process. ETFA Gavneet Singh Chadha, Andreas Schwung
2017	—	`conf`	Competitive Evaluation of Energy Management Strategies for Hybrid Electric Vehicle Based on Real World Driving. EMS Philipp Kemper, Philipp Rehlaender, Ulf Witkowski, Andreas Schwung
2017	J	`jnl`	PLC-Based Real-Time Realization of Flatness-Based Feedforward Control for Industrial Compression Systems. IEEE Trans. Ind. Electron. Shane Dominic, Yannik Lohr, Andreas Schwung, Steven X. Ding
2017	C	`conf`	Self-optimization of energy consumption in complex bulk good processes using reinforcement learning. INDIN Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding
2017	C	`conf`	System reconfiguration of modular production units using a SOA-based control structure. INDIN Andreas Schwung, Alexander Elbel, Dorothea Schwung
2015	—	`conf`	Cyber-physical modeling of compression systems using hybrid automata. CASE Andreas Schwung
2015	J	`jnl`	Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis. Fuzzy Sets Syst. Andreas Schwung, M. Beck, Jürgen Adamy
2014	C	`conf`	Flatness-based feedforward control for fast operating point transitions of compressor systems. CCA Semir Osmic, Marc Oliver Berner, Andreas Schwung, Michael Jost, Martin Mönnigmann
2014	C	`conf`	Nonlinear decoupling control of compressor systems for fast load transients in combined cycle power plants. CCA Andreas Schwung, Patrik Berner, Semir Osmic, Michael Jost, Martin Mönnigmann
2013	—	`conf`	Sum of squares approaches for control of continuous-time recurrent fuzzy systems. MED Stefan Gering, Andreas Schwung, Thomas Gussner, Jürgen Adamy
2012	J	`jnl`	Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization. Fuzzy Sets Syst. Andreas Schwung, Jürgen Adamy
2011	J	`jnl`	Stability Analysis of Recurrent Fuzzy Systems: A Hybrid System and SOS Approach. IEEE Trans. Fuzzy Syst. Andreas Schwung, Thomas Gussner, Jürgen Adamy
2010	J	`jnl`	Anwendung zeitdiskreter rekurrenter Fuzzy-Systeme zur Fehlerdiagnose (Fault Diagnosis employing Recurrent Fuzzy Systems). Autom. Andreas Schwung, Andreas Ortseifen, Jürgen Adamy
2010	B	`conf`	Nonlinear system modeling via hybrid system representation of recurrent fuzzy systems. FUZZ-IEEE Andreas Schwung, Jürgen Adamy
2010	J	`jnl`	Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems. Fuzzy Sets Syst. Jürgen Adamy, Andreas Schwung
2009	J	`jnl`	Modellierung dynamischer Systeme mit zeitkontinuierlichen rekurrenten Fuzzy-Systemen (Modeling of Dynamical Systems Using Continuous-time Recurrent Fuzzy Systems). Autom. Jürgen Adamy, Andreas Schwung
2009	B	`conf`	Stability analysis of continuous-time recurrent fuzzy systems. FUZZ-IEEE Andreas Schwung, Thomas Gussner, Jürgen Adamy