Name
Affiliation
Papers
ANDREAS SCHWUNG
Technische Universitãt Darmstadt, Institute for Automatic Control, Landgraf-Georg-Strasse 4, 64283 Darmstadt, Germany
36
Collaborators
Citations 
PageRank 
42
20
13.04
Referers 
Referees 
References 
48
457
210
Search Limit
100457
Title
Citations
PageRank
Year
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach00.342022
Generalized dilation convolutional neural networks for remaining useful lifetime estimation00.342021
Permutation Learning in Convolutional Neural Networks for Time-Series Analysis.00.342020
Data-based control of Peristaltic Sortation Machines using Discrete Element Method00.342020
Interactive Visual Procedure using an extended FMEA and Mixed-Reality00.342020
Generalized Dilation Neural Networks.00.342019
Potential Game based Distributed Optimization of Modular Production Units00.342019
Design Approach And Simulation Of A Peristaltic Sortation Machine00.342019
Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches00.342019
Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks00.342019
Learning the Non-linearity in Convolutional Neural Networks.00.342019
Traffic Sign Detection Using R-CNN.00.342019
Regularizing Neural Networks with Gradient Monitoring.00.342019
Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes00.342019
Virtual Commissioning Approach based on the Discrete Element Method00.342018
Development Of A Mobile App For Fault Detection Assessment Based On Information Fusion00.342018
A Cloud-based Architecture for Condition Monitoring based on Machine Learning10.632018
Optimal dosing of bulk material using mass-flow estimation and DEM simulation00.342018
Integrated IPC for data-driven fault detection00.342018
Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach10.362018
On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning10.362018
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation00.342017
Competitive Evaluation of Energy Management Strategies for Hybrid Electric Vehicle Based on Real World Driving00.342017
PLC-Based Real-Time Realization of Flatness-Based Feedforward Control for Industrial Compression Systems.30.422017
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning00.342017
Comparison of deep neural network architectures for fault detection in Tennessee Eastman process00.342017
System reconfiguration of modular production units using a SOA-based control structure10.362017
Assistance system for a bulk good system based on information fusion00.342017
A Novel Predictive Energy Management System00.342017
Cyber-Physical Modeling Of Compression Systems Using Hybrid Automata00.342015
Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis20.372015
Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization20.382012
Anwendung zeitdiskreter rekurrenter Fuzzy-Systeme zur Fehlerdiagnose (Fault Diagnosis employing Recurrent Fuzzy Systems)10.362010
Nonlinear system modeling via hybrid system representation of recurrent fuzzy systems30.492010
Modellierung dynamischer Systeme mit zeitkontinuierlichen rekurrenten Fuzzy-Systemen (Modeling of Dynamical Systems Using Continuous-time Recurrent Fuzzy Systems)10.412009
Stability analysis of continuous-time recurrent fuzzy systems40.462009