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Empowering Underserved Mandarin-Speaking Communities Through Medical Student-Led Culinary Education
No full textMinutes of the Formal Session of the Oakland University Board of Trustees, February 7, 2025
No full textA. Call to Order | B. Roll Call | C. Consent Agenda for Consideration/Action: Consent Agenda; Minutes of the Board of Trustees Formal Session of October 18, 2024; University Personnel Actions; Acceptance of Gifts and Pledges to Oakland University for the Period of October 2, 2024 through January 16, 2025; Acceptance of Grants and Contracts to Oakland University for the Period of September 1 – December 31, 2024; Final Undergraduate School Report, Summer 2024 – August 24, 2024; Approval of Honorary Degrees; Appointment of the Executive Vice President for Academic Affairs and Provost; Discontinuance of Certain Academic Programs; Anton Frankel Center Sale; Approval of Easement Extension at Oakland West Center; Approval of Authorization for Operator Agreement for Meadow Brook Music Festival; Approval of Funding for the Recreation and Athletic Center Chiller Replacement Project | D. New Items for Consideration/Action: Strategic Vision 2030; Master of Science Degree in Bioengineering; Bachelor of Science in Applied Data Science; Amendment to Rank of Emeritus Faculty Policy; Emeritus Non-Represented Staff and Clinical Faculty Policy | E. Other Items for Consideration/Action that May Come Before the Board | F. Adjournmen
Using Deep Learning for Digital Subtraction Angiography Based Cerebral Aneurysm Detection and Rupture Risk Assessment
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Event-triggered mpc for dc-dc converters
No full textModel Predictive Control (MPC) has been gaining popularity as a time-domain control method for power converters. Event-triggered MPC has been explored as a method to reduce the computational burden of enumeration-based MPC. Existing literature reports MPCs successful use in power converter applications but does not widely explore the use of event-triggered control in similar applications. This investigation proposes a method to utilize event-triggered model predictive control (ET-MPC) in DC-to-DC power converters to achieve significant computational savings by reducing the frequency of control updates to only when needed. The method proposed solves an optimal control problem (OCP) to generate an optimal actuating value only when an event is triggered as opposed to solving the OCP at every time step. The purpose is to reduce the computational load of an enumeration-based time-triggered MPC over a defined time-frame. The novelty of this method lies in the selection of the actuating control signal, where the control actions are selected from the optimal switching sequence as opposed to upholding the last value of the optimal actuating value as reported in prior literature. A Kalman Filter-based estimator is added to the control system to ensure accurate voltage tracking during model mismatch which commonly occurs during load transients. In this work, ET-MPC is successfully implemented on both a DC-to-DC boost and a buck converter showing significant computational savings. The performances of the conventional time-triggered MPC and the proposed event-triggered MPC are compared through simulation. The effect of the event-trigger threshold is evaluated as a tuning parameter to balance computation and control performance