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DTSTAMP:20190117T155852
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SUMMARY:Systems and Control Seminar: Talk of Yuning Jiang, PhD
DESCRIPTION:\nTitle: Distributed optimization and control with ALADIN\nAbstract:\nStructured nonlinear optimization problems arise in a variety of control applications ranging\nfrom nonlinear model predictive control via robust control for uncertain processes to distributed\nnonlinear control of hybrid systems. Recently, the Augmented Lagrangian based Alternating Direction\nInexact Newton (ALADIN) method has been proposed to solve non-convex distributed optimization\nproblems to local optimality. After reviewing the main idea of ALADIN, this talk focusses on three\napplications. The first one is about a real-time variant of ALADIN, which can be used to solve\nnonlinear model predictive control problems with long horizons. The performance of this real-time\nvariant of ALADIN is illustrated by applying it to a continuously stirred tank reactor. The second\napplication is about coordinating autonomous vehicles at traffic intersections. Finally, a third\napplication of ALADIN in the field stochastic robust control is introduced, where an ensemble of\nuncertainty scenarios is optimized. We show how ALADIN can be used to robustly control an\nexothermic tubular plug flow reactor. \n\nBiographical Information:\nYuning Jiang is a PhD student under the supervision of Prof. Boris Houska at the School of\nInformation Science and Technology at ShanghaiTech University. He received his BS degree in\nElectrical Engineering from Shandong University in 2014. His research interests include numerical\nmethods for distributed optimization and model predictive control.
DTSTART;VALUE=DATE:20160831
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Systems-and-Control-Seminar-Talk-of-Yuning-Jiang-PhD/
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