Program - Thursday, December 18, 2014

Hughes Aircraft Electrical Engineering Center (EEB) 132


9:00am Continental Breakfast & Registration
9:30am Welcome and a Vision of Controls at USC - Petros Ioannou, Rahul Jain, Urbashi Mitra & Ashutosh Nayyar
9:50am Henrik Sandberg, KTH Royal Institute of Technology, Implementation costs and information flow in Kalman-Bucy Filters
10:10am Aditya Mahajan, McGill University, Team Optimal Decentralized Control of Mean-field Coupled Subsystems
10:30am Coffee Break
11:00am Serdar Yuksel, Queen's University, Asymptotic Optimality of Quantized Policies and Finite Approximations in Stochastic Control
11:20am Danielle Tarraf, Johns Hopkins University, Less is More: A New Paradigm for Control
11:40am Poster previews
We have more than a dozen posters from post-doctoral researchers and graduate students from Caltech, Georgia Tech, KTH, Michigan, MIT, UC Berkeley, UC Santa Barbara, UIUC, the University of Maryland, the University of Washington, Lund University and USC.
12:10pm Lunch and Poster Session
1:50pm Jason Marden, University of Colorado at Boulder, Selecting Efficient Correlated Equilibria Through Distributed Learning
2:10pm Tara Javidi, University of California, San Diego, Social Learning and Hypothesis Testing
2:30pm Modern Networks, Optimization & Control: What is it? A Panel Discussion and Interrogation
Michael Demetriou (WPI), Fariba Fahroo (DARPA), Massimo, Franceschetti (UCSD), Angelia Nedich (UIUC), George Pappas (University of Pennsylvania)
3:40pm Michael Rotkowitz, University of Maryland, Stabilization of Decentralized Systems with Arbitrary Information Structure
4:00pm Mihailo Jovanovic, University of Minnesota, Dynamics and Control of Distributed Systems: Lessons, Opportunities, and Challenges
4:20pm Coffee Break
4:50pm Javad Lavaei, Columbia University, Graph-Theoretic Algorithm for Arbitrary Polynomial Optimization Problems with Applications to Distributed Control, Power Systems, and Matrix Completion
5:10pm Eilyan Bitar, Cornell University, Transitioning to a Modern Power System: the Role Control, Optimization, and Human Behavior