The objective of the Southern California Control Workshop is to provide a forum for graduate students and postdocs in the broad area of systems and control to present their work, interact and establish connections with fellow students, postdocs, and faculty.

The 36th Southern California Control Workshop is hosted at USC on May 31, 2019. It is sponsored by the Ming Hsieh Institute and organized by Ashutosh Nayyar, Ketan Savla, and Mihailo Jovanovic.

Technical Program

Technical program in PDF format is available here.

8:30 - 8:55 Breakfast
8:55 - 9:00 Opening remarks
Session I Chair: Mihailo Jovanovic
9:00 - 9:25 Speaker: Dhruva Kartik, USC
Zero-sum stochastic games with asymmetric information
Advisor: Ashutosh Nayyar
9:25 - 9:50 Speaker: Tommaso Menara, UC Riverside
Cluster synchronization of Kuramoto oscillators for the analysis and control of functional connectivity in the human brain
Advisor: Fabio Pasqualetti
9:50 - 10:15 Speaker: Prasad Vilas Chanekar, UC San Diego
Edge modification in networks using novel edge centrality measures
Advisor: Jorge Cortes
10:15 - 10:45 Refreshment Break
Session II Chair: Ashutosh Nayyar
10:45 - 11:10 Speaker: Xiaobin Xiong, Caltech
Optimal control on a simple pendulum model: A perspective towards continuous gait generation and stabilization for 3D underactuated bipedal walking
Advisor: Aaron Ames
11:10 - 11:35 Speaker: Zhouyu Lu, UC Riverside
Planning and control for collision-enhanced robot navigation at small scales
Advisor: Konstantinos Karydis
11:35 - 12:00 Speaker: Ben Dunst, UC Los Angeles
Analysis of X-ray pulsars for navigation and clock blending
Advisor: Jason Speyer
12:00 - 12:25 Speaker: Yangyao Ding, UC Los Angeles
Microscopic modeling and optimal operation of thermal atomic layer deposition
Advisor: Panagiotis Christofides
12:30 - 2:00 Lunch
Session III Chair: Ketan Savla
2:00 - 2:25 Speaker: Karena X. Cai, Caltech
Rules of the road: Towards assume-guarantee profiles for autonomous vehicles
Advisors: Soon-Jo Chung and Richard Murray
2:25 - 2:50 Speaker: Yanwen Mao, UC Los Angeles
When is the secure state-reconstruction problem hard?
Advisor: Paulo Tabuada
2:50 - 3:15 Speaker: Raphael Chinchilla, UC Santa Barbara
Optimization-based estimation of expected values with applications to optimal stochastic control
Advisor: Joao Hespanha
3:15 - 3:45 Refreshment Break
Session IV Chair: Nestor Perez-Arancibia
3:45 - 4:10 Speaker: Dimitris Boskos, UC San Diego
Characterization of ambiguity sets built from progressively collected dynamic data
Advisors: Sonia Martinez and Jorge Cortes
4:10 - 4:35 Speaker: Pratyush Kumar, UC Santa Barbara
Approximate model predictive control using neural networks
Advisor: James Rawlings
4:35 - 5:00 Speaker: Yu-Chen Sung, USC
Stability of switched nonlinear feedback systems with bounded average time-variation
Advisor: Michael Safonov