{"678210":{"#nid":"678210","#data":{"type":"event","title":"PhD Defense by Luke Somers","body":[{"value":"\u003Cp\u003ELuke Somers (Advisor: Prof. Wassim M. Haddad]\u003Cbr\u003Ewill defend a doctoral thesis entitled,\u003Cbr\u003EFeedback Interconnection of Dissipative Systems\u003Cbr\u003Eand Accelerated Learning for Adaptive Control\u003Cbr\u003EOn\u003Cbr\u003EFriday, November 22nd at 1:00 p.m. Montgomery Knight Building 317\u003Cbr\u003EAbstract\u003Cbr\u003EIn this research, we develop partial stability theorems for nonlinear continuous-time and discrete-time dissipative feedback systems. Specifically, by invoking additional structural constraints on the forward and feedback loop system storage functions, we develop feedback interconnection partial stability results for dissipative nonlinear dynamical systems. Our results provide extensions of the positivity and small gain theorems for guaranteeing partial stability of feedback interconnected systems. Moreover, we introduce the notion of strongly dissipative dynamical systems. In particular, we construct a stronger version of the dissipation inequality that implies system dissipativity and generalizes the notion of strict dissipativity but unlike strict dissipativity, which for a closed dynamical system implies asymptotic stability, the closed dynamical system possesses the property that system trajectories converge to a Lyapunov stable equilibrium state in finite time. Next, we develop new continuous-time, momentum-based adaptive laws for identification and control by augmenting higher-order tuners into the integral gradient and recursive least squares algorithms. In addition, we develop an online learning algorithm for solving the Bellman equation for affine in the control discrete-time nonlinear uncertain dynamical systems. To ensure accelerated learning of our algorithm in generating optimal control policies, we use an actor-critic structure predicated on higher-order tuner laws. Finally, we merge our strong dissipativity framework with our momentum-based adaptive control architecture to develop adaptive controllers with finite time guarantees.\u003C\/p\u003E\u003Cp\u003E\u003Cbr\u003ECommittee\u003Cbr\u003E\u2022 Prof. Wassim M. Haddad\u2013 School of Aerospace Engineering (advisor)\u003Cbr\u003E\u2022 Prof. Kyriakos G. Vamvoudakis\u2013 School of Aerospace Engineering\u003Cbr\u003E\u2022 Prof. Jonnalagadda V.R. Prasad\u2013 School of Aerospace Engineering\u003Cbr\u003E\u2022 Dr. Cedric Justin \u2013 School of Aerospace Engineering\u003Cbr\u003E\u2022 Prof. Junsoo Lee\u2013 University of South Carolina\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EFeedback Interconnection of Dissipative Systems\u003Cbr\u003Eand Accelerated Learning for Adaptive Control\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Feedback Interconnection of Dissipative Systems and Accelerated Learning for Adaptive Control"}],"uid":"27707","created_gmt":"2024-11-06 13:19:40","changed_gmt":"2024-11-06 13:20:20","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-11-22T13:00:00-05:00","event_time_end":"2024-11-22T15:00:00-05:00","event_time_end_last":"2024-11-22T15:00:00-05:00","gmt_time_start":"2024-11-22 18:00:00","gmt_time_end":"2024-11-22 20:00:00","gmt_time_end_last":"2024-11-22 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Montgomery Knight Building 317","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":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}