Invited Talks for Open Invited Sessions
Autonomous motion coordination of multi-vehicle systems
Prof. Zhiyong Sun Time: 13:00-13:30 |
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This talk will present recent research work of autonomous systems and motion control at the Autonomous Motion Control (AMC) lab at TU Eindhoven. We then focus on constrained motion control of muti-vehicle systems, while we aim to address various heterogenous motion constrains arising from many practical vehicle systems with different kinematics/dynamics motion equations. Lastly, we discuss emerging research topics on multi-vehicle formation control with spatio-temporal constraints.
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Control Theory for Generalized Coordination of Multi-robot Systems
Prof. Kazunori Sakurama Time: 13:30-14:00 |
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Control methods for multi-robot systems have massive potential for practical applications, including autonomous vehicles, cluster satellites, and sensor networks. In many applications, cooperative coordination plays a central role. Various methods have been developed for coordination tasks, such as consensus, formation, coverage, and pursuit. Most developments of control methods have taken place for each task individually so far. This talk aims to provide a systematic method to design controllers applicable to a wide range of coordination tasks for multi-robot systems. To this end, we describe the coordination problem in a unified manner instead of handling various problems individually. Then, a complete solution to this problem is provided compactly using the tools of group and graph theories. This talk presents the core ideas of the control theory specific to multi-robot systems and shows practical examples of coordination tasks achievable through this theory.
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14:00-14:15 Parallel Operation of Electric Motors with Nonidentical Power Ratings
(Kwang-Kyo Oh(Sunchon National University, Korea))
14:15-14:30 An H∞ Robust Consensus Control for Distributed Multi-Agent Systems Characterized by Uncertain Time-Varying Topologies
(Junghoon Kim, Dohyeok Kwak, Jung Hoon Kim(POSTECH, Korea))
Decentralised adaptive-gain control for epidemic spreading on networks
Dr. Mengbin Ye Time: 16:00-16:30 |
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This talk provides an overview of recent approaches using adaptive-gain control and feedback principles to “close-the-loop” on infectious disease dynamics. We consider the deterministic SIS network model for epidemic spreading on a meta-population network, where we assume the network is above the epidemic threshold and thus the disease becomes endemic if left uncontrolled. A class of decentralised adaptive-gain controllers are proposed which dynamically adjust the infection or recovery rates, representing non-pharmaceutical and medical interventions, respectively. The effectiveness and challenges associated with such controllers are explored using theoretical analysis and simulations, first assuming we can control all nodes in the network, and then relaxing to consider controlling a subset of the nodes.
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16:30-16:45 Preliminary Results on Ultra-Wideband Range Measurements Model Considering a Directional Bias based on Spherical Harmonics for Drone Swarm
(Taekyun Kim, Dongjun Lee(Seoul National University, Korea))
16:45-17:00 Multiplex PID consensus for single integrator agents
(YoungHun Lim(Gyeongsang National University, Korea))
17:00-17:15 Quantization-Aware Encrypted Consensus Protocol for Second-Order Multi-Agent Systems
(Hung Manh Nguyen, Hyo-Sung Ahn(GIST, Korea))
17:15-17:30 Tilted Circumnavigation of Multiple Drones Around Multiple Targets
(Mirzobek Malikov, Vladimir Shin, Yoonsoo Kim(Gyeongsang National University, Korea))