{"658452":{"#nid":"658452","#data":{"type":"event","title":"PhD Defense by Peter Lander","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESchool of Civil and Environmental Engineering\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPh.D. Thesis Defense Announcement\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EState, Parameter, and Input Estimation Through MMSE Estimation for Structural Systems\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBy\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPeter Lander\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Yang Wang (CEE) and Dr. Jacob Dodson (AFRL)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Lauren Stewart (CEE), Dr. Ryan Sherman (CEE),\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Xi Liu (Intuitive Surgical, Inc.), Dr. Ying Zhang (ECE)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp; June 8, 2022 at 1:00 PM EST\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003ESEB122 and Online: \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/94410781939?pwd=MERUMTcyMjh1UkcwYTVtYnliZHVNUT09%20#success\u0022\u003EZoom\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EComplete announcement, with abstract, is attached.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research areas of bridge weigh-in-motion and high-rate structural health monitoring seek to use sensor data to gain real-time insights into monitored structures and their operating conditions. This thesis contributes to both research areas by applying minimum mean square error estimation (MMSE) algorithms. Specifically, bridge weigh-in-motion estimates the weights of vehicles as they cross a bridge by measuring the bridge\u0026rsquo;s dynamic response. This thesis details a full-scale experimental validation of the recently developed finite input covariance estimator for bridge weigh-in-motion in tandem with the development of a low-cost autonomous bridge weigh-in-motion system. Experimental results using acceleration and strain measurements demonstrated that the finite input covariance estimator achieves axle weight estimates with less than 10% error. When combined with the extended Kalman filter, the same finite input covariance estimator can be applied to nonlinear systems. High-rate structural health monitoring seeks to track the state of structures experiencing nonlinearities while being subjected to high-rate events, like impacts. This research presents the development and application of the extended version of the finite input covariance estimator towards performing joint state-input-parameter estimation. The proposed estimator is validated through simulations and experiments based on a nonlinear high-rate testbed. The estimator is found to be capable of performing accurate joint state-input-parameter estimation in the presence of impacts and high-rate parameter changes. Additionally, the proposed estimator maintains the stability of the original finite input covariance estimator in scenarios where only acceleration measurements are available.\u0026nbsp;\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"State, Parameter, and Input Estimation Through MMSE Estimation for Structural Systems"}],"uid":"27707","created_gmt":"2022-05-24 13:11:07","changed_gmt":"2022-05-24 13:11:07","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-06-08T14:00:00-04:00","event_time_end":"2022-06-08T16:08:00-04:00","event_time_end_last":"2022-06-08T16:08:00-04:00","gmt_time_start":"2022-06-08 18:00:00","gmt_time_end":"2022-06-08 20:08:00","gmt_time_end_last":"2022-06-08 20:08:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"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":""}}}