{"629350":{"#nid":"629350","#data":{"type":"event","title":"PhD Proposal by Thanakorn Khamvilai","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EThanakorn Khamvilai\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003E(Advisor: Prof. Eric Feron]\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003Ewill propose a doctoral thesis entitled,\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EReconfigurable Reliable Robotics\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EOn\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003E[date \u0026amp; time]\u003C\/em\u003E\u003Cstrong\u003E Monday, December 2 at 3:00 p.m. \u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003E[building \u0026amp; room]\u003C\/em\u003E\u003Cstrong\u003E Montgomery Knight Building 317\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; Due to emerging on-demand mobility, many recent topics of researches are focused on various types of autonomous electric vehicle systems such as a self-driving car, a delivery drone service, and urban air mobility. Two crucial considerations of these autonomous systems are reliability and safety. This research addresses a formal framework for provably guaranteeing reliability and safety in the context of safety-critical cyber-physical systems, which apply to previously mentioned real-world systems. This framework consists of three main contributions. The first one develops a design automation technique for assuring absolute reliability. This design method adopts an Aerospace Recommend Practice documents as standards for formulating a redundancy optimization problem based on a geometric program. The solution to this problem indicates the minimum number of redundancy components, e.g., sensors, computing units, and actuators, needed for achieving the desired reliability.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; The second contribution focuses on an approach that mitigates the consequential effects of failures that could occur on those redundancy components. This approach provides two reliability optimization-based methodology for hardware reconfiguring or software reallocating. Depending on where a fault has occurred on the system, the reconfiguration\/reallocation optimization problem can be cast as either a mixed-integer linear programming problem or a rank optimization problem.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; The third contribution is shifted toward a safety aspect of the cyber-physical system concerning component failures. Notably, the aim is to ensure that the system\u0026#39;s state-space always stays in a known safe-space during its operation despite the loss or a partial loss of its controllability or observability. This idea utilizes concepts of a control allocation problem and a set invariance principle, and provides a quadratic programming optimization problem for calculating an optimal control policy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; In addition to numerical examples provided at the end of each subsection, this proposed framework will be realizable through experimental implementations that demonstrate the reconfigurable reliable robotic system.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EProf. Eric Feron \u0026ndash; School of Aerospace Engineering (advisor)\u003C\/li\u003E\r\n\t\u003Cli\u003EProf. Kyriakos Vamvoudakis \u0026ndash; School of Aerospace Engineering\u003C\/li\u003E\r\n\t\u003Cli\u003EProf. Brian German \u0026ndash; School of Aerospace Engineering\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Reconfigurable Reliable Robotics"}],"uid":"27707","created_gmt":"2019-11-25 18:56:47","changed_gmt":"2019-11-25 18:56:47","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-12-02T15:00:00-05:00","event_time_end":"2019-12-02T17:00:00-05:00","event_time_end_last":"2019-12-02T17:00:00-05:00","gmt_time_start":"2019-12-02 20:00:00","gmt_time_end":"2019-12-02 22:00:00","gmt_time_end_last":"2019-12-02 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}