Intelligent Control | IEEE Control Systems Society

Chair(s):

Tansel Yucelen

University of South Florida

United States

Tansel Yucelen

Biography

Dr. Tansel Yucelen is an Assistant Professor of the Department of Mechanical Engineering, the Director of the LACIS, and the Director of the Forum on Robotics and Control Engineering (FoRCE) at the University of South Florida. He received the Doctor of Philosophy in Aerospace Engineering from the Georgia Institute of Technology in May 2012. Prior to joining the University of South Florida, he held Research Engineer positions in the School of Aerospace Engineering and the School of Electrical and Computer Engineering at the Georgia Institute of Technology from December 2011 to August 2013. He also held an Assistant Professor position in the Department of Mechanical and Aerospace Engineering at the Missouri University of Science and Technology from August 2013 to August 2016, where he created and directed the Advanced Systems Research Laboratory and the Control Systems Forum. He participated in summer programs at the Air Force Research Laboratory Aerospace System Directorate in Dayton, Ohio, from May 2014 to July 2014 and at the Munitions Directorate in Eglin, Florida from May 2015 to July 2015.

Dr. Yucelen is a member of the National Academy of Inventors in recognition of advanced technological development and innovation and a senior member of the AIAA and the IEEE. In addition, he is the recipient of the 2018 University of South Florida Research and Innovation Faculty Outstanding Research Achievement Award, 2017 University of South Florida College of Engineering Junior Outstanding Research Achievement Award, 2016 ACGSC Dave Ward Memorial Lecture Award (for the outstanding contributions to the field of adaptive control), 2016 AIAA Technical Contribution Award (for the creation of novel flight control synthesis and analysis algorithms), 2015 Oak Ridge Associated Universities Junior Faculty Award (for public recognition of the quality and promise of research), and 2014 Class of 1942 Excellence in Teaching Award. His research places a strong emphasis on both theoretic research and experimentation for addressing fundamental and open real-world technological problems. Specifically, his research falls into dynamical systems and controls with specializations in 1) adaptive and robust control of safety-critical systems; 2) distributed estimation and control of networked multiagent systems; 3) resilient and secure robotics, autonomous vehicles, and cyber-physical systems; and 4) biologically-inspired complex, large-scale, and modular systems. He has co-authored more than 200 archival journal and conference publications in these areas and his contributions were implemented on various platforms including AirSTAR of the NASA Langley Research Center.

Dr. Yucelen is an active member of the AIAA, ASME, and IEEE societies as well as AIAA Technical Committee (TC) on Guidance, Navigation, and Control (invited by Dave Doman and Susan Frost), AIAA TC on Intelligent Systems (invited by Nhan Nguyen), IEEE TC on Adaptive Dynamic Programming and Reinforcement Learning (invited by Silvia Ferrari), IEEE TC on Aerospace Control (invited by Kingsley Fregene), IEEE TC on Control Education, IEEE TC on Intelligent Control (invited by Jagannathan Sarangapani), IEEE TC on System Identification and Adaptive Control, and IFAC TC on Adaptive and Learning Systems (invited by Fouad Giri). He is also the creator of the Guidance, Navigation, and Control Listserv - a communication tool for researchers and educators in the Guidance, Navigation, and Control field. Dr. Yucelen's additional professional experiences include the organization of 2 local workshops at the University of South Florida; 5 workshops and 4 invited sessions at the top scientific and engineering conferences on dynamical systems and controls; and various associate editor, conference program committee, conference technical area chair, conference session chair, and reviewer roles.

Affiliation(s)

University of South Florida

United States

Mission Statement:

To foster a community of members who advance the science and technology and provide forums for the theoretical and practical considerations of intelligent control techniques and their application to devices and systems.

Scope:

Intelligent control, the discipline where control algorithms are developed by emulating certain characteristics of biological systems and being fueled by recent advancements in computing technology and is emerging as a technology that may open avenues for significant technological advances. The characteristics include adaptation and learning, planning under large uncertainty and coping with large amounts of data. Today, the area of intelligent control tends to encompass everything that is not characterized as conventional control; it has, however, shifting boundaries and what is called "intelligent control" today, will probably be called "control" tomorrow.

The committee is dedicated to introduce and discuss different topics related to the emerging area of Intelligent Control since 1985. The Technical Committee has several active members, with many other researchers in the field benefiting from its activities. Benefiting from both academic and significant industrial participation, the committee coordinates activities towards understanding of the challenges, problems and effective methods of controlling complex systems.

The research outcome of TCIC members is published annually in ‘International Symposium on Intelligent Control’, as part of CSS supported IEEE Multi Conference on Systems and Control, and in other major conferences such as American Control Conference and the IEEE Conference on Decision and Control via invited technical sessions. The IEEE Technical Committee on Intelligent Control regularly and synergistically collaborates with similar organizations such as IEEE Computational Intelligence. Other activities of the committee include organization of special issues in IEEE journals.

Topics of interest include, but are not limited to:

Architectures for intelligent control
Hierarchical intelligent control
Autonomous systems and control
Distributed intelligent systems
Modeling intelligent systems
Mathematical analysis of intelligent systems
Hybrid systems
Design techniques for intelligent controllers
Neural networks / neural control
Fuzzy systems / fuzzy control
Genetic algorithms
Particle swarm optimization
Machine learning / adaptive systems
Knowledge-based and expert systems
Planning systems
Reconfigurable control
Multisensor fusion / integration
Failure detection and identification

Applications include but not limited to:

Space systems and robotics
Manufacturing systems
Automotive systems / automated highway systems
Aircraft / spacecraft
Underwater / land vehicles/UAVs
Process control
Consumer products
Healthcare

TC webpage