{"id":1418,"date":"2018-09-17T16:44:57","date_gmt":"2018-09-17T14:44:57","guid":{"rendered":"https:\/\/www.uni.lu\/fstm-fr\/events\/ilias-distinguished-lecture-swarming-systems-from-networked-control-systems-theory-to-swarm-robotics-experiment\/"},"modified":"2018-09-17T16:44:57","modified_gmt":"2018-09-17T14:44:57","slug":"ilias-distinguished-lecture-swarming-systems-from-networked-control-systems-theory-to-swarm-robotics-experiment","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fstm-fr\/events\/ilias-distinguished-lecture-swarming-systems-from-networked-control-systems-theory-to-swarm-robotics-experiment\/","title":{"rendered":"ILIAS Distinguished Lecture &#8211; Swarming Systems: From Networked Control Systems Theory to Swarm Robotics Experiment"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p>Consensus and cooperation in networked multi-agent systems is a topic that is starting to receive significant attention in control theory and distributed computing owing to numerous possible engineering applications. For instance, the power grid, urban traffic, arrays of distributed sensors, multi-robot systems, and social networks are various examples of collective systems requiring an effective response to local perturbations. Using a number of theoretical models, we present some unexpected features arising in the collective dynamics of networked multi-agent systems. With the help of two swarm robotics testbeds, we experimentally analyze these features, and discuss their far-reaching practical implications for the design and understanding of distributed systems.<\/p><p><strong>BIOGRAPHY<\/strong><\/p><p>Prof Bouffanais and his group focus on both fundamental and applied interdisciplinary problems rooted in the field of Complexity. Depending on the nature of the problem, experiments, analytical theory and computation are considered and practiced. Specifically, we investigate complexity in engineering, biological and physical systems with a particular emphasis on the study of dynamical processes in relation with emergent collective behaviors: cell aggregation, fish schooling, cellular sensory networks, quantum emergent behaviors, turbulence in fluids, etc. We aim at devising some commonalities in those awe-inspiring collective behaviors by studying the system dynamics of a set of parameters borrowed from information theory, control theory and network science<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>Consensus and cooperation in networked multi-agent systems is a topic that is starting to receive significant attention in control theory and distributed computing owing to numerous possible engineering applications. For instance, the power grid, urban traffic, arrays of distributed sensors, multi-robot systems, and social networks are various examples of collective systems requiring an effective response to local perturbations. Using a number of theoretical models, we present some unexpected features arising in the collective dynamics of networked multi-agent systems. With the help of two swarm robotics testbeds, we experimentally analyze these features, and discuss their far-reaching practical implications for the design and understanding of distributed systems.<\/p>\n","protected":false},"author":0,"featured_media":1419,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2018-09-19 16:00:00","event_end_date":"2018-09-19 17:00:00","event_speaker_name":"Prof. Roland Bouffanais, Director of Graduate Studies at the Singapore University of Technology and Design (SUTD)","event_speaker_link":"","event_is_online":false,"event_location":"Belval Campus, Maison du Savoir (MSA), Room 4.340","event_street":"","event_location_link":"","event_zip_code":"","event_city":"","event_country":"LU"},"events-topic":[],"events-type":[],"organisation":[24],"authorship":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ILIAS Distinguished Lecture - Swarming Systems: From Networked Control Systems Theory to Swarm Robotics Experiment - FSTM I Uni.lu<\/title>\n<meta name=\"description\" content=\"Consensus and cooperation in networked multi-agent systems is a topic that is starting to receive significant attention in control theory and distributed computing owing to numerous possible engineering applications. 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With the help of two swarm robotics testbeds, we experimentally analyze these features, and discuss their far-reaching practical implications for the design and understanding of distributed systems.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/fstm-fr\/events\/ilias-distinguished-lecture-swarming-systems-from-networked-control-systems-theory-to-swarm-robotics-experiment\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ILIAS Distinguished Lecture - Swarming Systems: From Networked Control Systems Theory to Swarm Robotics Experiment\" \/>\n<meta property=\"og:description\" content=\"Consensus and cooperation in networked multi-agent systems is a topic that is starting to receive significant attention in control theory and distributed computing owing to numerous possible engineering applications. For instance, the power grid, urban traffic, arrays of distributed sensors, multi-robot systems, and social networks are various examples of collective systems requiring an effective response to local perturbations. Using a number of theoretical models, we present some unexpected features arising in the collective dynamics of networked multi-agent systems. 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