Dear All:
This is a reminder with regard to below two 2022 March FoRCE Online Seminars:
i) Dr. Ahmet Taha Koru from University of Texas at Arlington Research Institute will give an online seminar on March 4, 12 PM EDT. To join his online seminar entitled “Cooperative Output Regulation of Heterogeneous Multiagent Systems: A Global Distributed Control Synthesis Approach”, simply use this WebEx link:
WebEx Link: https://force.my.webex.com/force.my/j.php?MTID=m3ac587568e82c400ebffe821a35f60eb
Meeting number (access code): 2550 010 2964
Meeting password: VxvbXPqa366 (89829772 from phones and video systems)
ii) Dr. Dzung Tran from Air Force Research Laboratory will give an online seminar on March 25, 12 PM EDT. To join her online seminar entitled “A Generalized Time Transformation Approach for Finite-time Control and Beyond”, simply use this WebEx link:
WebEx Link: https://force.my.webex.com/force.my/j.php?MTID=m58464a8b5b01bdbe0e4a677823063864
Meeting number (access code): 2550 524 4827
Meeting password: mBMc94H8xdc (62629448 from phones and video systems)
Below you can find the abstracts of these two talks.
All the best,
K. Merve Dogan, Embry-Riddle Aeronautical University, dogank@erau.edu
Tansel Yucelen, University of South Florida, yucelen@usf.edu
Seminar i): March 4 (12:00p Eastern Time): Cooperative Output Regulation of Heterogeneous Multiagent Systems: A Global Distributed Control Synthesis Approach by Dr. Ahmet Taha Koru (University of Texas at Arlington Research Institute)
Abstract: There are two main approaches to control gain synthesis an internal model-based distributed dynamic state feedback control law for the linear cooperative output regulation problem: (i) agent-wise local design methods, (ii) global design methods. Agent-wise local design methods to synthesize distributed control gains focus on the individual dynamics of each agent to guarantee the overall stability of the system. They are powerful tools due to their scalability. However, the agent-wise local design methods are incapable of maximizing the overall system performance through, for example, decay rate assignment. On the other hand, design methods, which are predicated on a global condition, lead to nonconvex optimization problems. We present a convex formulation of this global design problem based on a structured Lyapunov inequality. Then, the existence of solutions to the structured Lyapunov inequality is investigated. Specifically, we analytically show that the solutions exist for the systems satisfying the agent-wise local sufficient condition. Finally, we compare the proposed method with the agent-wise local design method through numerical examples in terms of conservatism, performance maximization, graph dependency, and scalability.
Biography: Dr. Ahmet Taha Koru received the B.Sc. and M.Sc. degrees in Electrical and Electronics Engineering from Bilkent University, Ankara, Turkey, respectively in 2009 and 2012, and the Ph.D. degree in Control and Automation Engineering from Yildiz Technical University, Istanbul, Turkey, in 2017. He has been a postdoctoral research scholar at the Department of Mechanical Engineering, University of South Florida, Tampa, FL, USA, and the Department of Aerospace Engineering, Pennsylvania State University, University Park, PA, USA. He is currently a postdoctoral research associate at the University of Texas at Arlington Research Institute, Fort Worth, TX, USA. His research focused on cooperative control, time-delay systems, switching systems, and robotics.
Seminar ii): March 25 (12:00p Eastern Time): A Generalized Time Transformation Approach for Finite-time Control and Beyond by Dr. Dzung Tran (Air Force Research Laboratory)
Abstract: Time-critical applications are often performed over a time interval [0, τ), where the utilized finite-time control algorithms are expected to assure a task completion at a user-defined convergence time τ. In this talk, we will explore how to address these applications using the time transformation approach, which allows us to transform a resulting algorithm over the prescribed time interval [0, τ) to an equivalent algorithm over the stretched infinite-time interval [0,∞) for stability analysis. In addition, a procedure for designing such finite-time control algorithms is presented. We further demonstrate the approach’s efficacy with numerical examples and experimental results involving networked multiagent systems.
Biography: Dzung Tran is a Research Associate at Air Force Research Laboratory, Wright-Patterson Air Force Base since 2020. He received the Bachelor of Science degree in Mechanical Engineering from Missouri University of Science and Technology, Rolla, Missouri in 2014 and the PhD degree from the University of South Florida in 2019. His research specializes in distributed estimation, cooperative control, graph theory, and multiplex networks with applications to multiagent systems, robotics, and dynamic data driven applications systems. He is a member of AIAA and IEEE.
