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2020 – today
- 2025
[j33]Mochammad Rizky Diprasetya, Johannes Pöppelbaum, Andreas Schwung:
KineNN: Kinematic Neural Network for inverse model policy based on homogeneous transformation matrix and dual quaternion. Robotics Comput. Integr. Manuf. 94: 102945 (2025)- 2024
- [j32]Fernando Arévalo
, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification. IEEE Access 12: 2236-2259 (2024) - [j31]Maximilian Menke, Thomas Wenzel, Andreas Schwung:
AWADA: Foreground-focused adversarial learning for cross-domain object detection. Comput. Vis. Image Underst. 249: 104153 (2024) - [j30]Maximilian Menke, Thomas Wenzel, Andreas Schwung:
Bridging the gap: Active learning for efficient domain adaptation in object detection. Expert Syst. Appl. 254: 124403 (2024) - [j29]Hendrik Klopries, Andreas Schwung:
ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features. Knowl. Based Syst. 283: 111131 (2024) - [j28]Johannes Pöppelbaum, Andreas Schwung:
Improving quaternion neural networks with quaternionic activation functions. Knowl. Based Syst. 305: 112619 (2024) - [j27]Marlon Löppenberg, Steve Yuwono, Mochammad Rizky Diprasetya, Andreas Schwung:
Dynamic robot routing optimization: State-space decomposition for operations research-informed reinforcement learning. Robotics Comput. Integr. Manuf. 90: 102812 (2024) - [j26]Steve Yuwono, Detlef Arend, Andreas Schwung:
MLPro-GT-game theory and dynamic games modeling in Python. SoftwareX 28: 101956 (2024) - [c62]Rizky M. Diprasetya, Ali Nafih Pullani, Andreas Schwung, Dorothea Schwung:
Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks. CoDIT 2024: 43-48 - [c61]Mochammad Rizky Diprasetya, Ali Nafih Pullani, Andreas Schwung:
Sim-to-Real Transfer for Robotics Using Model-Free Curriculum Reinforcement Learning. ICIT 2024: 1-6 - [c60]M. Tahasanul Ibrahim, Nikhil Limaye, Andreas Schwung:
Node Reservation Based Incremental Learning Network for Object Detection. ICIT 2024: 1-6 - [c59]Marlon Löppenberg, Hendrik Klopries, Jonas Bartsch, Andreas Schwung:
Foreign Object Separation in Bulk Good Systems Using Machine Learning and Image Processing. ICIT 2024: 1-6 - [c58]Hendrik Klopries, Vignesh Chandramouli, Andreas Schwung:
Bag-of-Future: Time Series Forecasting by Continuous Function Candidates. ISIE 2024: 1-6 - [i22]Sofiene Lassoued, Andreas Schwung:
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning. CoRR abs/2402.00046 (2024) - [i21]Johannes Pöppelbaum, Andreas Schwung:
Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation. CoRR abs/2403.11722 (2024) - [i20]Steve Yuwono, Marlon Löppenberg, Dorothea Schwung, Andreas Schwung:
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. CoRR abs/2406.10015 (2024) - [i19]Johannes Pöppelbaum, Andreas Schwung:
Improving Quaternion Neural Networks with Quaternionic Activation Functions. CoRR abs/2406.16481 (2024) - [i18]Steve Yuwono, Dorothea Schwung, Andreas Schwung:
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems. CoRR abs/2408.05992 (2024) - [i17]Steve Yuwono, Dorothea Schwung, Andreas Schwung:
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems. CoRR abs/2408.06397 (2024) - [i16]Steve Yuwono, Ahmar Kamal Hussain, Dorothea Schwung, Andreas Schwung:
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games. CoRR abs/2410.22912 (2024) - [i15]Sasa Ilic, Abdulkerim Karaman, Johannes Pöppelbaum, Jan Niclas Reimann, Michael Marré, Andreas Schwung:
Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach. CoRR abs/2411.13366 (2024) - [i14]M. Tahasanul Ibrahim, Rifshu Hussain Shaik, Andreas Schwung:
Impact of Evidence Theory Uncertainty on Training Object Detection Models. CoRR abs/2412.17405 (2024) - 2023
- [j25]Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung:
Anomaly Detection Using Ensemble Classification and Evidence Theory. IEEE Access 11: 53545-53587 (2023) - [j24]Hendrik Klopries, Andreas Schwung:
Extracting interpretable features for time series analysis: A Bag-of-Functions approach. Expert Syst. Appl. 221: 119787 (2023) - [j23]Steve Yuwono, Marlon Löppenberg, Detlef Arend, Mochammad Rizky Diprasetya, Andreas Schwung:
MLPro-MPPS - A high-performance simulation framework for customizable production systems. Softw. Impacts 16: 100509 (2023) - [j22]Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding:
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies. IEEE Trans. Cybern. 53(9): 5424-5435 (2023) - [j21]Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding:
Gradient Monitored Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4106-4119 (2023) - [c57]Steve Yuwono, Andreas Schwung:
A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems. ETFA 2023: 1-8 - [c56]Hendrik Klopries, Andreas Schwung:
Flexible Activation Bag: Learning Activation Functions in Autoencoder Networks. ICIT 2023: 1-7 - [c55]Diyar Altinses, Andreas Schwung:
Multimodal Synthetic Dataset Balancing: a Framework for Realistic and Balanced Training Data Generation in Industrial Settings. IECON 2023: 1-7 - [c54]Diyar Altinses, Andreas Schwung:
Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization. IECON 2023: 1-7 - [c53]Mochammad Rizky Diprasetya, Steve Yuwono, Marlon Löppenberg, Andreas Schwung:
Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. INDIN 2023: 1-7 - [c52]Marlon Löppenberg, Andreas Schwung:
Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. INDIN 2023: 1-6 - [c51]Hendrik Klopries, Andreas Schwung:
Bag-of-Functions Denoising: Extracting main components in time series. ISIE 2023: 1-6 - [c50]Maximilian Menke, Thomas Wenzel, Andreas Schwung:
Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation. IV 2023: 1-7 - [c49]Steve Yuwono, Andreas Schwung:
Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications. MED 2023: 883-889 - [c48]Eric Hilgert, Andreas Schwung:
Stability-Guaranteed Control Systems with Min-Max Constraints and Machine Learning-Based Virtual Sensors. SMC 2023: 3577-3582 - [i13]Marlon Löppenberg, Andreas Schwung:
Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. CoRR abs/2304.05638 (2023) - [i12]Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Information Fusion for Assistance Systems in Production Assessment. CoRR abs/2309.00157 (2023) - 2022
- [j20]Gavneet Singh Chadha, Sayed Rafay Bin Shah, Andreas Schwung, Steven X. Ding:
Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation. IEEE Access 10: 74244-74258 (2022) - [j19]Johannes Pöppelbaum, Andreas Schwung:
Predicting Rigid Body Dynamics Using Dual Quaternion Recurrent Neural Networks With Quaternion Attention. IEEE Access 10: 82923-82943 (2022) - [j18]Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Production Assessment Using a Knowledge Transfer Framework and Evidence Theory. IEEE Access 10: 89134-89152 (2022) - [j17]Johannes Pöppelbaum, Gavneet Singh Chadha, Andreas Schwung:
Contrastive learning based self-supervised time-series analysis. Appl. Soft Comput. 117: 108397 (2022) - [j16]Jan Niclas Reimann, Andreas Schwung, Steven X. Ding:
Adopting attention-mechanisms for Neural Logic Rule Layers. Autom. 70(3): 257-266 (2022) - [j15]Jan Niclas Reimann, Andreas Schwung, Steven X. Ding:
Neural logic rule layers. Inf. Sci. 596: 185-201 (2022) - [j14]Detlef Arend, Mochammad Rizky Diprasetya, Steve Yuwono, Andreas Schwung:
MLPro - An integrative middleware framework for standardized machine learning tasks in Python. Softw. Impacts 14: 100421 (2022) - [j13]Dorothea Schwung, Andreas Schwung, Steven X. Ding:
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach. IEEE Trans. Cybern. 52(4): 2174-2185 (2022) - [c47]Hendrik Klopries, David Orlando Salazar Torres, Andreas Schwung:
Synthetic time series dataset generation for unsupervised autoencoders. ETFA 2022: 1-8 - [c46]Mochammad Rizky Diprasetya, Andreas Schwung:
Homogeneous Transformation Matrix Based Neural Network for Model Based Reinforcement Learning on Robot Manipulator. ICIT 2022: 1-6 - [c45]Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding:
Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks. ICPRAM (Revised Selected Papers) 2022: 23-51 - [c44]Steve Yuwono, Andreas Schwung, Dorothea Schwung:
The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. INDIN 2022: 335-340 - [c43]Mohammed Sharafath Abdul Hameed, Venkata Harshit Koneru, Johannes Pöppelbaum, Andreas Schwung:
Curriculum Learning in Peristaltic Sortation Machine. INDIN 2022: 540-545 - [c42]Maximilian Menke, Thomas Wenzel, Andreas Schwung:
Improving GAN-based Domain Adaptation for Object Detection. ITSC 2022: 3880-3885 - [i11]Fernando Arévalo N., Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Production Assessment using a Knowledge Transfer Framework and Evidence Theory. CoRR abs/2207.03611 (2022) - [i10]Maximilian Menke, Thomas Wenzel, Andreas Schwung:
AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection. CoRR abs/2208.14662 (2022) - [i9]Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung:
Anomaly Detection using Ensemble Classification and Evidence Theory. CoRR abs/2212.12092 (2022) - [i8]Johannes Pöppelbaum, Andreas Schwung:
Quaternion Backpropagation. CoRR abs/2212.13082 (2022) - 2021
- [j12]Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding:
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning. Comput. Chem. Eng. 152: 107382 (2021) - [j11]Gavneet Singh Chadha, Utkarsh Panara, Andreas Schwung, Steven X. Ding:
Generalized dilation convolutional neural networks for remaining useful lifetime estimation. Neurocomputing 452: 182-199 (2021) - [j10]Sayed Rafay Bin Shah, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding:
A Sequence-to-Sequence Approach for Remaining Useful Lifetime Estimation Using Attention-augmented Bidirectional LSTM. Intell. Syst. Appl. 10-11: 200049 (2021) - [j9]Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, Steven X. Ding:
Deep Convolutional Clustering-Based Time Series Anomaly Detection. Sensors 21(16): 5488 (2021) - [c41]Andreas Schwung, Johannes Pöppelbaum, Pradeep C. Nutakki:
Rigid Body Movement Prediction Using Dual Quaternion Recurrent Neural Networks. ICIT 2021: 756-761 - [c40]Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung:
Curiosity Based RL on Robot Manufacturing Cell. ICIT 2021: 1048-1053 - [c39]Fernando Arévalo N., Christian Alison M. Piolo, Joachim Arens, Andreas Schwung, Matthias Hermes:
Knowledge Internalization using Virtual Training on the HoloLens. ICIT 2021: 1113-1118 - [c38]Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung:
Disease Prediction Based on Individual's Medical History Using CNN. ICMLA 2021: 89-94 - [c37]Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung:
Generalized Dilation Structures in Convolutional Neural Networks. ICPRAM 2021: 79-88 - [c36]Fernando Arévalo N., M. Tahasanul Ibrahim, Rizky M. Diprasetya, Omar Otoniel Flores, Andreas Schwung:
Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application. SA 2021: 1-6 - 2020
- [c35]Fabian Westbrink, Andreas Schwung, Steven X. Ding:
How to get a Parcel surfing. AIM 2020: 1619-1624 - [c34]Gavneet Singh Chadha, S. M. Nazmus Sakeib, Andreas Schwung:
Remaining Useful Lifetime Estimation with Sobolev Training. ETFA 2020: 1447-1450 - [c33]Gavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding:
Permutation Learning in Convolutional Neural Networks for Time-Series Analysis. ICANN (1) 2020: 220-231 - [c32]Fernando Arévalo, Dimitri Sunaringtyas, Cristhian Tito, Christian Piolo, Andreas Schwung:
Interactive Visual Procedure using an extended FMEA and Mixed-Reality. ICIT 2020: 286-291 - [c31]Fabian Westbrink, Andreas Schwung, Steven X. Ding:
Data-based control of Peristaltic Sortation Machines using Discrete Element Method. IECON 2020: 575-580 - [i7]Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding:
Gradient Monitored Reinforcement Learning. CoRR abs/2005.12108 (2020) - [i6]Mohammed Sharafath Abdul Hameed, Andreas Schwung:
Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks. CoRR abs/2009.03836 (2020) - [i5]Johannes Pöppelbaum, Andreas Schwung:
Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention. CoRR abs/2011.08734 (2020) - [i4]Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung:
Curiosity Based Reinforcement Learning on Robot Manufacturing Cell. CoRR abs/2011.08743 (2020)
2010 – 2019
- 2019
- [j8]Dorothea Schwung, Andreas Schwung, Steven X. Ding:
Actor-Critic Reinforcement Learning for Energy Optimization in Hybrid production Environments. Int. J. Comput. 18: 360-371 (2019) - [c30]Fabian Westbrink, Roshin Sivanandan, Thomas Schütte, Andreas Schwung:
Design approach and simulation of a peristaltic sortation machine. AIM 2019: 1127-1132 - [c29]Gavneet Singh Chadha, Monica Krishnamoorthy, Andreas Schwung:
Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks. IECON 2019: 173-178 - [c28]Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding:
Potential Game based Distributed Optimization of Modular Production Units. INDIN 2019: 106-111 - [c27]Gavneet Singh Chadha, Arfyan Rabbani, Andreas Schwung:
Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes. INDIN 2019: 214-219 - [c26]Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed:
Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches. INDIN 2019: 233-238 - [c25]Fernando Arévalo, Cristhian Tito, Mochammad Rizky Diprasetya, Andreas Schwung:
Fault Detection Assessment using an extended FMEA and a Rule-based Expert System. INDIN 2019: 740-745 - [c24]Gavneet Singh Chadha, Elnaz Meydani, Andreas Schwung:
Regularizing Neural Networks with Gradient Monitoring. INNSBDDL 2019: 196-205 - [c23]Philipp Rehlaender, Maik Schroeer, Gavneet Singh Chadha, Andreas Schwung:
Traffic Sign Detection Using R-CNN. INNSBDDL 2019: 226-235 - [c22]Dorothea Schwung, Madhav Modali, Andreas Schwung:
Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning. SMC 2019: 4063-4068 - [i3]Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung:
Generalized Dilation Neural Networks. CoRR abs/1905.02961 (2019) - [i2]Gavneet Singh Chadha, Andreas Schwung:
Learning the Non-linearity in Convolutional Neural Networks. CoRR abs/1905.12337 (2019) - [i1]Jan Niclas Reimann, Andreas Schwung:
Neural Logic Rule Layers. CoRR abs/1907.00878 (2019) - 2018
- [c21]Fernando Arévalo, Juan Rernenteria, Andreas Schwung:
Fault Detection Assessment Architectures based on Classification Methods and Information Fusion. ETFA 2018: 1343-1350 - [c20]Gavneet Singh Chadha, Fabian Westbrink, Thomas Schütte, Andreas Schwung:
Optimal dosing of bulk material using mass-flow estimation and DEM simulation. ICIT 2018: 256-261 - [c19]Fabian Westbrink, Gavneet Singh Chadha, Andreas Schwung:
Integrated IPC for data-driven fault detection. ICPS 2018: 277-282 - [c18]Fernando Arévalo, Mochammad Rizky Diprasetya, Andreas Schwung:
A Cloud-based Architecture for Condition Monitoring based on Machine Learning. INDIN 2018: 163-168 - [c17]Fabian Westbrink, Andreas Schwung:
Virtual Commissioning Approach based on the Discrete Element Method. INDIN 2018: 424-429 - [c16]Fernando Arévalo, Enzo Oestanto, Andreas Schwung:
Development of a Mobile App for Fault Detection Assessment based on Information Fusion. INDIN 2018: 635-640 - [c15]Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding:
Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach. IEEE Conf. on Intelligent Systems 2018: 31-38 - [c14]Dorothea Schwung, Andreas Schwung, Steven X. Ding:
On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning. IEEE Conf. on Intelligent Systems 2018: 147-154 - 2017
- [j7]Shane Dominic, Yannik Lohr, Andreas Schwung, Steven X. Ding:
PLC-Based Real-Time Realization of Flatness-Based Feedforward Control for Industrial Compression Systems. IEEE Trans. Ind. Electron. 64(2): 1323-1331 (2017) - [c13]Philipp Rehlaender, Philipp Kemper, Andreas Schwung, Ulf Witkowski:
A Novel Predictive Energy Management System. EMS 2017: 145-150 - [c12]Philipp Kemper, Philipp Rehlaender, Ulf Witkowski, Andreas Schwung:
Competitive Evaluation of Energy Management Strategies for Hybrid Electric Vehicle Based on Real World Driving. EMS 2017: 151-156 - [c11]Fernando Arévalo, Tin Nguyen, Andreas Schwung:
Assistance system for a bulk good system based on information fusion. ETFA 2017: 1-8 - [c10]Gavneet Singh Chadha, Andreas Schwung:
Comparison of deep neural network architectures for fault detection in Tennessee Eastman process. ETFA 2017: 1-8 - [c9]Andreas Schwung, Alexander Elbel, Dorothea Schwung:
System reconfiguration of modular production units using a SOA-based control structure. INDIN 2017: 121-126 - [c8]Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding:
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation. INDIN 2017: 194-199 - [c7]Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding:
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning. INDIN 2017: 231-236 - 2015
- [j6]Andreas Schwung, M. Beck, Jürgen Adamy:
Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis. Fuzzy Sets Syst. 277: 138-153 (2015) - [c6]Andreas Schwung:
Cyber-physical modeling of compression systems using hybrid automata. CASE 2015: 1125-1130 - 2014
- [c5]Andreas Schwung, Patrik Berner, Semir Osmic, Michael Jost, Martin Mönnigmann:
Nonlinear decoupling control of compressor systems for fast load transients in combined cycle power plants. CCA 2014: 27-32 - [c4]Semir Osmic, Marc Oliver Berner, Andreas Schwung, Michael Jost, Martin Mönnigmann:
Flatness-based feedforward control for fast operating point transitions of compressor systems. CCA 2014: 1753-1758 - 2013
- [c3]Stefan Gering, Andreas Schwung, Thomas Gussner, Jürgen Adamy:
Sum of squares approaches for control of continuous-time recurrent fuzzy systems. MED 2013: 271-277 - 2012
- [j5]Andreas Schwung, Jürgen Adamy:
Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization. Fuzzy Sets Syst. 203: 1-16 (2012) - 2011
- [j4]Andreas Schwung, Thomas Gussner, Jürgen Adamy:
Stability Analysis of Recurrent Fuzzy Systems: A Hybrid System and SOS Approach. IEEE Trans. Fuzzy Syst. 19(3): 423-431 (2011) - 2010
- [j3]Andreas Schwung, Andreas Ortseifen, Jürgen Adamy:
Anwendung zeitdiskreter rekurrenter Fuzzy-Systeme zur Fehlerdiagnose (Fault Diagnosis employing Recurrent Fuzzy Systems). Autom. 58(6): 322-331 (2010) - [j2]Jürgen Adamy, Andreas Schwung:
Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems. Fuzzy Sets Syst. 161(23): 3026-3043 (2010) - [c2]Andreas Schwung, Jürgen Adamy:
Nonlinear system modeling via hybrid system representation of recurrent fuzzy systems. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [j1]Jürgen Adamy, Andreas Schwung:
Modellierung dynamischer Systeme mit zeitkontinuierlichen rekurrenten Fuzzy-Systemen (Modeling of Dynamical Systems Using Continuous-time Recurrent Fuzzy Systems). Autom. 57(3): 129-137 (2009) - [c1]Andreas Schwung, Thomas Gussner, Jürgen Adamy:
Stability analysis of continuous-time recurrent fuzzy systems. FUZZ-IEEE 2009: 313-318
Coauthor Index
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