IEEE World Congress on Computational Intelligence (WCCI) 2020
AIM: The development of technology in different areas such as computing, sensing, and information processing together with reliable communication has made it possible to employ collaborative autonomous systems that allow for greater flexibility, reliability and capacity as well as higher performance. It has also become possible to deploy multiple robots, satellites and other ground and air vehicles for purposes such as monitoring, healthcare, and space search. These advancements thus necessitate further research on efficient distributed control structures and particularly efficient collaborative control of multi-agent systems. The multi-agent control systems are associated with some major challenges such as uncertainties and complexities of the operating environment, uncertainties of dynamics of possibly heterogeneous agents, and limited interactions between the agents. This raises the requirement of efficient and powerful paradigms that can handle the possible challenges and issues. Recently, intelligent paradigms such as fuzzy systems and neural networks have been successfully employed in the design of multi-agent control structures because of their unique capabilities such as universal approximation and uncertainty handling properties.
This special session will highlight the latest development in this rapidly growing research area of fuzzy and intelligent control of multi-agent/distributed systems. All researchers, academics, and experts are kindly invited to submit their original research papers to this special session.
SCOPE: The scope includes (but not limited to) the following topics:
- Multi-agent control
- Formation control
- Containment control
- Flocking control
- Consensus control
- Cooperation and coordination
- Swarm and cooperative control
- Intelligent robot systems
- Swarm intelligence for learning and control
- Synchronization of multi-agent systems
- Swarm robotic and artificial intelligence
- Autonomous control of unmanned vehicles
- Coordinated control of multi vehicle systems
- Distributed and decentralized intelligent control
- Real-world applications of multi-agent control systems in engineering, robotics, etc.
Important dates
- January 15, 2020 - Paper submission deadline
- March 15, 2020 - Author notification of acceptance or rejection
- April 15, 2020 - Final manuscript and early registration
- July 19-24, 2020 - IEEE WCCI
To submit your paper please see WCCI 2020 Paper Submission or go directly to the Submission site.
Organizers:
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Prof. Mohammad-R. Akbarzadeh-T. Department of Computer and Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran. |
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Dr. Fahimeh Baghbani Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran. |
About the organizers:
Mohammad-R. Akbarzadeh-T. is currently a professor and director of the Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), department of electrical engineering, Ferdowsi University of Mashhad. He received his Ph.D. on Evolutionary Optimization and Fuzzy Control of Complex Systems from the department of electrical and computer engineering at the University of New Mexico (UNM) in 1998. From 1996-2003, he was also affiliated with the NASA Center for Autonomous Control Engineering at UNM. In 2006 and 2017, he was also with the Berkeley Initiative on Soft Computing (BISC), UC Berkeley as a visiting scholar. In 2007, he also served as a consulting faculty at the Department of Aerospace and Aeronautic Engineering, Purdue University.
Prof. Akbarzadeh is the founding president of the Intelligent Systems Scientific Society of Iran and the founding councilor representing the Iranian Coalition on Soft Computing in IFSA. He is also a senior member of the IEEE and the founding faculty councilor of the IEEE student branch until 2008. His research interests are in the areas of bio-inspired computing/optimization, fuzzy logic and control, soft computing, multi-agent systems, complex systems, robotics, cognitive sciences, and medical informatics. He has published over 450 peer-reviewed articles in these and related research fields.
Fahimeh Baghbani is a postdoctoral fellow at the Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad (FUM), Iran. She received her Ph.D. in Electrical Engineering (control) from FUM in 2019. Her dissertation was entitled, “Stable Adaptive Emotional Neuro-Control for Uncertain Affine Nonlinear Multi-agent Systems.” Her research interest includes intelligent control, fuzzy and neural control, Type-2 fuzzy systems, multi-agent control systems, and nonlinear control with application to robotic systems.