Stability analysis of continuous-time recurrent fuzzy systems. - Andreas Schwung; Thomas Gussner; Jürgen Adamy (FUZZ-IEEE, 2009)

Modellierung dynamischer Systeme mit zeitkontinuierlichen rekurrenten Fuzzy-Systemen (Modeling of Dynamical Systems Using Continuous-time Recurrent Fuzzy Systems). - Jürgen Adamy; Andreas Schwung (Autom., 2009)

Nonlinear system modeling via hybrid system representation of recurrent fuzzy systems. - Andreas Schwung; Jürgen Adamy (FUZZ-IEEE, 2010)

Anwendung zeitdiskreter rekurrenter Fuzzy-Systeme zur Fehlerdiagnose (Fault Diagnosis employing Recurrent Fuzzy Systems). - Andreas Schwung; Andreas Ortseifen; Jürgen Adamy (Autom., 2010)

Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems. - Jürgen Adamy; Andreas Schwung (Fuzzy Sets Syst., 2010)

Stability Analysis of Recurrent Fuzzy Systems: A Hybrid System and SOS Approach. - Andreas Schwung; Thomas Gussner; Jürgen Adamy (IEEE Trans. Fuzzy Syst., 2011)

Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization. - Andreas Schwung; Jürgen Adamy (Fuzzy Sets Syst., 2012)

Sum of squares approaches for control of continuous-time recurrent fuzzy systems. - Stefan Gering; Andreas Schwung; Thomas Gussner; Jürgen Adamy (MED, 2013)

Flatness-based feedforward control for fast operating point transitions of compressor systems. - Semir Osmic; Marc Oliver Berner; Andreas Schwung; Michael Jost 001; Martin Mönnigmann (CCA, 2014)

Nonlinear decoupling control of compressor systems for fast load transients in combined cycle power plants. - Andreas Schwung; Patrik Berner; Semir Osmic; Michael Jost 001; Martin Mönnigmann (CCA, 2014)

Cyber-physical modeling of compression systems using hybrid automata. - Andreas Schwung (CASE, 2015)

Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis. - Andreas Schwung; M. Beck; Jürgen Adamy (Fuzzy Sets Syst., 2015)

Competitive Evaluation of Energy Management Strategies for Hybrid Electric Vehicle Based on Real World Driving. - Philipp Kemper; Philipp Rehlaender; Ulf Witkowski; Andreas Schwung (EMS, 2017)

A Novel Predictive Energy Management System. - Philipp Rehlaender; Philipp Kemper; Andreas Schwung; Ulf Witkowski (EMS, 2017)

Assistance system for a bulk good system based on information fusion. - Fernando Arévalo; Tin Nguyen 002; Andreas Schwung (ETFA, 2017)

Comparison of deep neural network architectures for fault detection in Tennessee Eastman process. - Gavneet Singh Chadha; Andreas Schwung (ETFA, 2017)

An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation. - Dorothea Schwung; Fabian Csaplar; Andreas Schwung; Steven X. Ding (INDIN, 2017)

System reconfiguration of modular production units using a SOA-based control structure. - Andreas Schwung; Alexander Elbel; Dorothea Schwung (INDIN, 2017)

Self-optimization of energy consumption in complex bulk good processes using reinforcement learning. - Dorothea Schwung; Tim Kempe; Andreas Schwung; Steven X. Ding (INDIN, 2017)

PLC-Based Real-Time Realization of Flatness-Based Feedforward Control for Industrial Compression Systems. - Shane Dominic; Yannik Lohr; Andreas Schwung; Steven X. Ding (IEEE Trans. Ind. Electron., 2017)

Fault Detection Assessment Architectures based on Classification Methods and Information Fusion. - Fernando Arévalo; Juan Rernenteria; Andreas Schwung (ETFA, 2018)

Optimal dosing of bulk material using mass-flow estimation and DEM simulation. - Gavneet Singh Chadha; Fabian Westbrink; Thomas Schütte; Andreas Schwung (ICIT, 2018)

Integrated IPC for data-driven fault detection. - Fabian Westbrink; Gavneet Singh Chadha; Andreas Schwung (ICPS, 2018)

A Cloud-based Architecture for Condition Monitoring based on Machine Learning. - Fernando Arévalo; Mochammad Rizky Diprasetya; Andreas Schwung (INDIN, 2018)

Development of a Mobile App for Fault Detection Assessment based on Information Fusion. - Fernando Arévalo; Enzo Oestanto; Andreas Schwung (INDIN, 2018)

Virtual Commissioning Approach based on the Discrete Element Method. - Fabian Westbrink; Andreas Schwung (INDIN, 2018)

Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach. - Dorothea Schwung; Jan Niclas Reimann; Andreas Schwung; Steven X. Ding (IEEE Conf. on Intelligent Systems, 2018)

On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning. - Dorothea Schwung; Andreas Schwung; Steven X. Ding (IEEE Conf. on Intelligent Systems, 2018)

Design approach and simulation of a peristaltic sortation machine. - Fabian Westbrink; Roshin Sivanandan; Thomas Schütte; Andreas Schwung (AIM, 2019)

Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks. - Gavneet Singh Chadha; Monica Krishnamoorthy; Andreas Schwung (IECON, 2019)

Fault Detection Assessment using an extended FMEA and a Rule-based Expert System. - Fernando Arévalo; Cristhian Tito; Mochammad Rizky Diprasetya; Andreas Schwung (INDIN, 2019)

Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes. - Gavneet Singh Chadha; Arfyan Rabbani; Andreas Schwung (INDIN, 2019)

Potential Game based Distributed Optimization of Modular Production Units. - Dorothea Schwung; Jan Niclas Reimann; Andreas Schwung; Steven X. Ding (INDIN, 2019)

Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches. - Andreas Schwung; Dorothea Schwung; Mohammed Sharafath Abdul Hameed (INDIN, 2019)

Regularizing Neural Networks with Gradient Monitoring. - Gavneet Singh Chadha; Elnaz Meydani; Andreas Schwung (INNSBDDL, 2019)

Traffic Sign Detection Using R-CNN. - Philipp Rehlaender; Maik Schroeer; Gavneet Singh Chadha; Andreas Schwung (INNSBDDL, 2019)

Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning. - Dorothea Schwung; Madhav Modali; Andreas Schwung (SMC, 2019)

Generalized Dilation Neural Networks. - Gavneet Singh Chadha; Jan Niclas Reimann; Andreas Schwung (CoRR, 2019)

Learning the Non-linearity in Convolutional Neural Networks. - Gavneet Singh Chadha; Andreas Schwung (CoRR, 2019)

Neural Logic Rule Layers. - Jan Niclas Reimann; Andreas Schwung (CoRR, 2019)

Actor-Critic Reinforcement Learning for Energy Optimization in Hybrid production Environments. - Dorothea Schwung; Andreas Schwung; Steven X. Ding (Int. J. Comput., 2019)

How to get a Parcel surfing. - Fabian Westbrink; Andreas Schwung; Steven X. Ding (AIM, 2020)

Remaining Useful Lifetime Estimation with Sobolev Training. - Gavneet Singh Chadha; S. M. Nazmus Sakeib; Andreas Schwung (ETFA, 2020)

Permutation Learning in Convolutional Neural Networks for Time-Series Analysis. - Gavneet Singh Chadha; Jinwoo Kim; Andreas Schwung; Steven X. Ding (ICANN (1), 2020)

Interactive Visual Procedure using an extended FMEA and Mixed-Reality. - Fernando Arévalo; Dimitri Sunaringtyas; Cristhian Tito; Christian Piolo; Andreas Schwung (ICIT, 2020)

Data-based control of Peristaltic Sortation Machines using Discrete Element Method. - Fabian Westbrink; Andreas Schwung; Steven X. Ding (IECON, 2020)

Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks. - Mohammed Sharafath Abdul Hameed; Andreas Schwung (CoRR, 2020)

Curiosity Based Reinforcement Learning on Robot Manufacturing Cell. - Mohammed Sharafath Abdul Hameed; Md Muzahid Khan; Andreas Schwung (CoRR, 2020)

Knowledge Internalization using Virtual Training on the HoloLens. - Fernando Arévalo N.; Christian Alison M. Piolo; Joachim Arens; Andreas Schwung; Matthias Hermes (ICIT, 2021)

Curiosity Based RL on Robot Manufacturing Cell. - Mohammed Sharafath Abdul Hameed; Md Muzahid Khan; Andreas Schwung (ICIT, 2021)

Rigid Body Movement Prediction Using Dual Quaternion Recurrent Neural Networks. - Andreas Schwung; Johannes Pöppelbaum; Pradeep C. Nutakki (ICIT, 2021)

Disease Prediction Based on Individual's Medical History Using CNN. - Monica Krishnamoorthy; Mohammed Sharafath Abdul Hameed; Thomas Kopinski; Andreas Schwung (ICMLA, 2021)

Generalized Dilation Structures in Convolutional Neural Networks. - Gavneet Singh Chadha; Jan Niclas Reimann; Andreas Schwung (ICPRAM, 2021)

Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application. - Fernando Arévalo N.; M. Tahasanul Ibrahim; Rizky M. Diprasetya; Omar Otoniel Flores; Andreas Schwung (SA, 2021)

Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning. - Dorothea Schwung; Steve Yuwono; Andreas Schwung; Steven X. Ding (Comput. Chem. Eng., 2021)

Generalized dilation convolutional neural networks for remaining useful lifetime estimation. - Gavneet Singh Chadha; Utkarsh Panara; Andreas Schwung; Steven X. Ding (Neurocomputing, 2021)

A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM. - Sayed Rafay Bin Shah; Gavneet Singh Chadha; Andreas Schwung; Steven X. Ding (Intell. Syst. Appl., 2021)

Deep Convolutional Clustering-Based Time Series Anomaly Detection. - Gavneet Singh Chadha; Intekhab Islam; Andreas Schwung; Steven X. Ding (Sensors, 2021)

Synthetic time series dataset generation for unsupervised autoencoders. - Hendrik Klopries; David Orlando Salazar Torres; Andreas Schwung (ETFA, 2022)

Homogeneous Transformation Matrix Based Neural Network for Model Based Reinforcement Learning on Robot Manipulator. - Mochammad Rizky Diprasetya; Andreas Schwung (ICIT, 2022)

Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks. - Jan Niclas Reimann; Bhargav Bharat Shukla; Andreas Schwung; Steven X. Ding (ICPRAM (Revised Selected Papers), 2022)

Curriculum Learning in Peristaltic Sortation Machine. - Mohammed Sharafath Abdul Hameed; Venkata Harshit Koneru; Johannes Pöppelbaum; Andreas Schwung (INDIN, 2022)

The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. - Steve Yuwono; Andreas Schwung; Dorothea Schwung (INDIN, 2022)

Improving GAN-based Domain Adaptation for Object Detection. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (ITSC, 2022)

Production Assessment Using a Knowledge Transfer Framework and Evidence Theory. - Fernando Arévalo; Christian Alison M. Piolo; M. Tahasanul Ibrahim; Andreas Schwung (IEEE Access, 2022)

Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation. - Gavneet Singh Chadha; Sayed Rafay Bin Shah; Andreas Schwung; Steven X. Ding (IEEE Access, 2022)

Predicting Rigid Body Dynamics Using Dual Quaternion Recurrent Neural Networks With Quaternion Attention. - Johannes Pöppelbaum; Andreas Schwung (IEEE Access, 2022)

Contrastive learning based self-supervised time-series analysis. - Johannes Pöppelbaum; Gavneet Singh Chadha; Andreas Schwung (Appl. Soft Comput., 2022)

Adopting attention-mechanisms for Neural Logic Rule Layers. - Jan Niclas Reimann; Andreas Schwung; Steven X. Ding (Autom., 2022)

AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (CoRR, 2022)

Quaternion Backpropagation. - Johannes Pöppelbaum; Andreas Schwung (CoRR, 2022)

Neural logic rule layers. - Jan Niclas Reimann; Andreas Schwung; Steven X. Ding (Inf. Sci., 2022)

Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach. - Dorothea Schwung; Andreas Schwung; Steven X. Ding (IEEE Trans. Cybern., 2022)

MLPro - An integrative middleware framework for standardized machine learning tasks in Python. - Detlef Arend; Mochammad Rizky Diprasetya; Steve Yuwono; Andreas Schwung (Softw. Impacts, 2022)

A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems. - Steve Yuwono; Andreas Schwung (ETFA, 2023)

Flexible Activation Bag: Learning Activation Functions in Autoencoder Networks. - Hendrik Klopries; Andreas Schwung (ICIT, 2023)

Multimodal Synthetic Dataset Balancing: a Framework for Realistic and Balanced Training Data Generation in Industrial Settings. - Diyar Altinses; Andreas Schwung (IECON, 2023)

Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization. - Diyar Altinses; Andreas Schwung (IECON, 2023)

Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. - Mochammad Rizky Diprasetya; Steve Yuwono; Marlon Löppenberg; Andreas Schwung (INDIN, 2023)

Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. - Marlon Löppenberg; Andreas Schwung (INDIN, 2023)

Bag-of-Functions Denoising: Extracting main components in time series. - Hendrik Klopries; Andreas Schwung (ISIE, 2023)

Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (IV, 2023)

Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications. - Steve Yuwono; Andreas Schwung (MED, 2023)

Stability-Guaranteed Control Systems with Min-Max Constraints and Machine Learning-Based Virtual Sensors. - Eric Hilgert; Andreas Schwung (SMC, 2023)

Anomaly Detection Using Ensemble Classification and Evidence Theory. - Fernando Arévalo; M. Tahasanul Ibrahim; Christian Alison M. Piolo; Andreas Schwung (IEEE Access, 2023)

Information Fusion for Assistance Systems in Production Assessment. - Fernando Arévalo; Christian Alison M. Piolo; M. Tahasanul Ibrahim; Andreas Schwung (CoRR, 2023)

MLPro-MPPS - A high-performance simulation framework for customizable production systems. - Steve Yuwono; Marlon Löppenberg; Detlef Arend; Mochammad Rizky Diprasetya; Andreas Schwung (Softw. Impacts, 2023)

Extracting interpretable features for time series analysis: A Bag-of-Functions approach. - Hendrik Klopries; Andreas Schwung (Expert Syst. Appl., 2023)

Gradient Monitored Reinforcement Learning. - Mohammed Sharafath Abdul Hameed; Gavneet Singh Chadha; Andreas Schwung; Steven X. Ding (IEEE Trans. Neural Networks Learn. Syst., 2023)

PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies. - Dorothea Schwung; Steve Yuwono; Andreas Schwung; Steven X. Ding (IEEE Trans. Cybern., 2023)

Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks. - Rizky M. Diprasetya; Ali Nafih Pullani; Andreas Schwung; Dorothea Schwung (CoDIT, 2024)

Sim-to-Real Transfer for Robotics Using Model-Free Curriculum Reinforcement Learning. - Mochammad Rizky Diprasetya; Ali Nafih Pullani; Andreas Schwung (ICIT, 2024)

Node Reservation Based Incremental Learning Network for Object Detection. - M. Tahasanul Ibrahim; Nikhil Limaye; Andreas Schwung (ICIT, 2024)

Foreign Object Separation in Bulk Good Systems Using Machine Learning and Image Processing. - Marlon Löppenberg; Hendrik Klopries; Jonas Bartsch; Andreas Schwung (ICIT, 2024)

Structured Graph Generation by Evolutionary Algorithm for Program Code Development. - Marlon Löppenberg; Andreas Schwung (IECON, 2024)

Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. - Steve Yuwono; Marlon Löppenberg; Dorothea Schwung; Andreas Schwung (IECON, 2024)

Bag-of-Future: Time Series Forecasting by Continuous Function Candidates. - Hendrik Klopries; Vignesh Chandramouli; Andreas Schwung (ISIE, 2024)

Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification. - Fernando Arévalo; Christian Alison M. Piolo; M. Tahasanul Ibrahim; Andreas Schwung (IEEE Access, 2024)

Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning. - Sofiene Lassoued; Andreas Schwung (CoRR, 2024)

Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems. - Steve Yuwono; Dorothea Schwung; Andreas Schwung (CoRR, 2024)

Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems. - Steve Yuwono; Dorothea Schwung; Andreas Schwung (CoRR, 2024)

Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games. - Steve Yuwono; Ahmar Kamal Hussain; Dorothea Schwung; Andreas Schwung (CoRR, 2024)

Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach. - Sasa Ilic; Abdulkerim Karaman; Johannes Pöppelbaum; Jan Niclas Reimann; Michael Marré; Andreas Schwung (CoRR, 2024)

Impact of Evidence Theory Uncertainty on Training Object Detection Models. - M. Tahasanul Ibrahim; Rifshu Hussain Shaik; Andreas Schwung (CoRR, 2024)

AWADA: Foreground-focused adversarial learning for cross-domain object detection. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (Comput. Vis. Image Underst., 2024)

Bridging the gap: Active learning for efficient domain adaptation in object detection. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (Expert Syst. Appl., 2024)

Improving quaternion neural networks with quaternionic activation functions. - Johannes Pöppelbaum; Andreas Schwung (Knowl. Based Syst., 2024)

Dynamic robot routing optimization: State-space decomposition for operations research-informed reinforcement learning. - Marlon Löppenberg; Steve Yuwono; Mochammad Rizky Diprasetya; Andreas Schwung (Robotics Comput. Integr. Manuf., 2024)

MLPro-GT-game theory and dynamic games modeling in Python. - Steve Yuwono; Detlef Arend; Andreas Schwung (SoftwareX, 2024)

ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features. - Hendrik Klopries; Andreas Schwung (Knowl. Based Syst., 2024)

Towards Agile Factory Automation: Integrating ABB Robot Manipulators, 3D Machine Vision Cameras, and Robot Operating System. - Steve Yuwono; Marlon Löppenberg; Jakob Steenweg; Carsten Cruse; Andreas Schwung (ICARA, 2025)

Data Imputation Techniques Using the Bag of Functions: Addressing Variable Input Lengths and Missing Data in Time Series Decomposition. - David Orlando Salazar Torres; Diyar Altinses; Andreas Schwung (ICIT, 2025)

Neural Data Fusion Enhanced PD Control for Precision Drone Landing in Synthetic Environments. - Diyar Altinses; David Orlando Salazar Torres; Stefan Lier; Andreas Schwung (ICM, 2025)

Online-Adaptive Data Stream Processing via Cascaded and Reverse Adaptation. - Detlef Arend; Andreas Schwung (ICPS, 2025)

Continual learning by gradient monitoring for remaining useful lifetime estimation. - Sayed Rafay Bin Shah; Andreas Schwung (Knowl. Based Syst., 2025)

Time series compression using quaternion valued neural networks and quaternion backpropagation. - Johannes Pöppelbaum; Andreas Schwung (Neural Networks, 2025)

KineNN: Kinematic Neural Network for inverse model policy based on homogeneous transformation matrix and dual quaternion. - Mochammad Rizky Diprasetya; Johannes Pöppelbaum; Andreas Schwung (Robotics Comput. Integr. Manuf., 2025)

Stability Analysis of Soft Sensor-Based Control Systems-A Luré-Postnikov Approach Using a Novel Gated Recurrent Neural Network. - Eric Hilgert; Andreas Schwung (CoRR, 2025)

Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theory. - Steve Yuwono; Muhammad Uzair Rana; Dorothea Schwung; Andreas Schwung (CoRR, 2025)

ITF-VAE: Variational Auto-Encoder Using Interpretable Continuous Time Series Features. - Hendrik Klopries; Andreas Schwung (IEEE Trans. Artif. Intell., 2025)