Performance
April 2024
April 5, WSU Choral Ensembles
Dean Luethi, director
Matt Myers, director
Elena Panchenko, piano
41st Annual Family Weekend Fashion Show
Celebrate the coming of spring with the cast of WSU Opera’s production of the comic opera The Bartered Bride by Bedřich Smetana. The action all takes place in one day as a small Czech village celebrates a spring festival, complete with a maypole, a beer garden, a circus,…
Celebrate the coming of spring with the cast of WSU Opera’s production of the comic opera The Bartered Bride by Bedřich Smetana. The action all takes place in one day as a small Czech village celebrates a spring festival, complete with a maypole, a beer garden, a circus,…
Tentative Concert Schedule:
(Not including masterclasses, workshops, and rehearsal times for attendees)
Friday
1:00-1:30 – Opening Ceremony concert – KCH
7:00-7:30 – Horn Ensemble Concert – BHT
7:30-9:00 – US Army Brass Quintet – BHT
Saturday
1:00-1:30 – Horn Ensemble Concert – BHT
1:30-3:00 –…
April 12, WSU Trombone Studio Recital
Sarah Miller, director
Guitar Studio Concert
April 15th – 5:10pm
Kimbrough Concert Hall
Free Admission
Performance of all WSU Guitar Ensembles:
Class Guitar I and II
Guitar Performance Workshop
WSU Guitar Ensemble
WSU’s own RSO Mariachi Leones del Monte will host students from 5 high schools in a day of campus tours and workshops. There will be a performance, open to the public, in Kimbrough Concert Hall at 1pm.
Sponsored by the RSO Mariachi Leones del Monte
Celebrate spring in the Palouse with the WSU Choral Ensembles for their spring concert “Feel the Passing Time.” Performing ensembles include the WSU Chamber Singers, University Singers, Treble Choir, and Concert Choir. All WSU choral ensembles will combine for a performance of John Corgliano’s Fern Hill with WSU…
Logan Terry presents “A Trip Down Memory Lane”, reminiscing on the good ol’ days of college before heading out to the real world. In collaboration with Elena Panchenko on piano, this recital will showcase works by Eugene Bozza, Franz Strauss, and Michael Davis to remember the fun times…
This talk will present a different programming perspective for physics-informed machine learning (PIML) of dynamical system models, learning to optimize, and learning to control methods. We will discuss the opportunity to develop a unified PIML framework by leveraging the conceptual similarities between these distinct approaches. Specifically, we introduce differentiable predictive control (DPC) as a sampling-based learning to control method that integrates the principles of parametric model predictive control (MPC) with physics-informed neural networks (PINNs). We also show how to use recent developments in control barrier functions and neural Lyapunov functions to obtain online performance guarantees for learning-based control policies. We demonstrate the performance of these PIML methods in a range of simulation case studies, including modeling of networked dynamical systems, robotics, building control, and dynamic economic dispatch problem in power systems.