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Fractional_Control 2020 : Developments in Fractional Order Modeling and Control

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Link: http://codit2020.com/index.php/special-sessions
 
When Jun 29, 2020 - Jul 2, 2020
Where Prague, Czech Republic
Submission Deadline Jan 24, 2020
Notification Due Apr 10, 2020
Final Version Due Apr 30, 2020
Categories    fractional order   control   modeling
 

Call For Papers

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The 7th, 2020 International Conference on Control, Decision and Information Technology,
CoDIT'20 (will be held from June 29 to July 2, 2020 in Prague, Czech Republic) – Sponsored by IEEE, IEEE Systems, Man, and Cybernetics Society, GDR RO,...
website: https://codit2020.com
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Special Session Chair:
Dr. Abhaya Pal Singh,
Symbiosis Institute of Technology,
Symbiosis International (Deemed University), Pune, India
email: abhaya.singh@sitpune.edu.in



Session description
Fractional calculus is an alternative approach for modeling and control of a system, frequently opted by many researchers in the last few decades. Fractional order approach has the potential to provide a more accurate analysis of a system compared to its integer counterpart. This special session is dedicated to the developments towards the modeling and control of a system using a fractional calculus approach. The goal of this session is to bring new ideas in the area of fractional-order modeling and control, and provide a platform for researchers to exchange their ideas. The fellow researchers, academicians, industry experts, and students from engineering disciplines working on a similar topic are welcome to contribute to the session.
The topics of interest include but are not limited to:
❖ Fractional Order Control:
• Developments in the tuning of fractional PID controllers.
• Fractional control strategies for different systems.
• Robotic Systems
• UAVs
• Renewable Energy Systems
• Sliding Mode Control
• Adaptive Fractional Order Control
• Developments of optimized control algorithms
❖ Factional Order modeling:
• Dynamical Systems
• Robotic Systems
• Under-actuated Systems
• UAVs
• Developments of optimized algorithms for modeling
• Renewable Energy Systems
• Mechatronics
• Electronic Devices and Circuits

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