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VERSION:2.0
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BEGIN:VEVENT
SUMMARY:Real-time Parallelizable Model Predictive Control using Spatio-tem
 poral Splitting
DTSTART:20240311T110000
DTEND:20240311T120000
DTSTAMP:20260407T030050Z
UID:d3d23f4c1f19565e46315d342591d85816f12a86a42e3f28912f84a4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Kristína Fedorová\, PhD\,  Slovak University of Technology 
 in Bratislava\nAbstract: Integrating distributed optimization techniques 
 within a Model Predictive Control (MPC) is a well-established practice in 
 control engineering. In this talk\, we will introduce the Real-time Parall
 elizable Model Predictive Control framework using Spatio-temporal Splittin
 g based on the Augmented Lagrangian-based Alternating Direction Inexact Ne
 wton method (ALADIN). We aim to distribute MPC computations across time an
 d space domains concurrently\, thereby substantially enhancing computation
 al efficiency. We will delve into the spatial distribution challenges and 
 demonstrate that it is possible to establish a predetermined number of ite
 rations for the proposed algorithm that still guarantees the stabilizable 
 control action while satisfying both input and state constraints. \n\n---
 ---------------------------------------------\nShort bio: Kristína Fedor
 ová is a PhD student at the Department of Information Engineering and Pro
 cess Control at Slovak University of Technology in Bratislava. She receive
 d her Master's degree in Process Control from the Slovak University of Tec
 hnology in Bratislava. Her research focuses on predictive control and its 
 efficient application in various domains such as power systems\, large-sca
 le systems\, systems with fast dynamics\, and chemical processes
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
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