posted by user: como || 4108 views || tracked by 11 users: [display]

LCCMS 2013 : ASCC Special Session on Learning Controllers for Complex Mechatronic Systems

FacebookTwitterLinkedInGoogle

Link: http://www.ascc.boun.edu.tr/
 
When Jun 23, 2013 - Jun 26, 2013
Where Istanbul
Submission Deadline Jan 15, 2013
Notification Due Feb 15, 2013
Final Version Due Mar 15, 2013
Categories    control   machine learning   mechatronics   adaptive control
 

Call For Papers

We would like to invite you to submit a paper to the ASCC 2013 special session on learning controllers for complex mechatronic systems, part of the 2013 IEEE Asian Control Conference (IEEE ASCC 2013), Istanbul, Turkey, June 23-26, 2013.

AIM AND SCOPE

In many practical mechatronic systems, the optimal machine settings are not applied, which can lead to a strong performance loss. One reason for this suboptimal control is that the optimal settings strongly depend on the process parameters and the environmental conditions, which are mostly only known within bounds and which can change drastically over time (e.g. changing temperature, different produced materials, etc.). Another reason for suboptimal performance of mechatronic system is the complex structure of these systems, which often consist of several interacting mechatronic subsystems, where each subsystem has its own characteristics. When there is a strong mutual interaction between different processes on a production machine, it is a complicated task for the machine operators to select the correct settings for all the subsystems to get an optimal global performance. The introduction of learning in the controllers of complex mechatronic systems can significantly enhance
the performance of these systems. The objective of this special session is to share novel ideas on the use of learning controllers in complex mechatronic systems, including both model-based and model-free approaches.

We solicit original submissions describing applications of all flavors of learning control in mechatronic systems. Topics of interest include, but are not limited to, the application of:

* (Approximate) Dynamic Programming
* Reinforcement learning
* Model-based learning controllers
* Model free control approaches
* Learning the interactions between the subsystems in a complex mechatronic system
* Distributed control

IMPORTANT DATES

Submission deadline: Jan 15, 2013
Acceptance notification: Feb 15, 2013
Final version submission: March 15, 2013
Conference: June 23-26, 2013

SUBMISSION INSTRUCTIONS

Please check the main ASCC site for detailed submission instructions:

http://www.ascc.boun.edu.tr/

Special session papers must be submitted with the submission type "Invited Session Paper" with the correct session code: 7XXiaR

ORGANIZERS

Wouter Saeys, KU Leuven, Belgium
Erdal Kayacan, KU Leuven, Belgium
Peter Vrancx , Vrije Universiteit Brussel, Belgium

Related Resources

MLDM 2023   18th International Conference on Machine Learning and Data Mining
ICMLA 2022   IEEE International conference on Machine Learning and Applications
CFDSP 2023   2023 International Conference on Frontiers of Digital Signal Processing (CFDSP 2023)
IJCNN 2023   International Joint Conference on Neural Networks
JCRAI 2022-Ei Compendex & Scopus 2022   2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022)
CMAAE 2022   2022 4th International Conference on Mechanical, Aerospace and Automotive Engineering (CMAAE 2022)
ECIR 2023   45th European Conference on Information Retrieval
IJITCA 2022   International Journal of Information Technology, Control and Automation
WSPML 2022   2022 4rd International Workshop on Signal Processing and Machine Learning (WSPML 2022)
CAMME 2023   2023 7th International Conference on Aerospace, Mechanical and Mechatronic Engineering (CAMME 2023)