{"682790":{"#nid":"682790","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Mi Zhou","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Optimal control of state-dependent switched systems\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Chaouki Abdallah, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Erik Verriest, ECE, Co-Advisor\u003C\/p\u003E\u003Cp\u003EDr. Yorai Wardi, ECE\u003C\/p\u003E\u003Cp\u003EDr. Luca Dieci, Math\u003C\/p\u003E\u003Cp\u003EDr. Maegan Tucker, ECE\u003C\/p\u003E\u003Cp\u003EDr. Matthew Hale, ECE\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis thesis addresses the optimal control of state\u2010dependent switched systems\u2014a class of hybrid dynamical systems characterized by state\u2010triggered transitions across known interfaces. Such systems arise in applications ranging from robotics and chemical process control to electronic circuits, yet the classical Pontryagin Maximum Principle applies only to continuously differentiable dynamics. Moreover, existing numerical toolboxes often lack both ease of use and rigorous error guarantees. To overcome these challenges, this thesis develops new theoretical foundations and efficient computational algorithms.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Optimal control of state-dependent switched systems "}],"uid":"28475","created_gmt":"2025-06-13 19:20:48","changed_gmt":"2025-06-13 19:22:12","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-06-24T09:00:00-04:00","event_time_end":"2025-06-24T11:00:00-04:00","event_time_end_last":"2025-06-24T11:00:00-04:00","gmt_time_start":"2025-06-24 13:00:00","gmt_time_end":"2025-06-24 15:00:00","gmt_time_end_last":"2025-06-24 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 423, TSRB","extras":[],"related_links":[{"url":"https:\/\/gatech.zoom.us\/j\/7296037340","title":"Zoom link"}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}