November 17, 2023

42nd Southern California Control Workshop

at the University of California, Riverside

Join us for a series of exciting presentations by graduate students and postdoctoral researchers focusing on the broad area of control systems!

Program

8-9am: Registration and Light Breakfast

9-9:10am: Welcome and Introductory Remarks

9:10-10:30am: Morning Session 1 (Session Chair: Erfan Nozari)

9:10-9:30am: Taosha Guo (UCR): Imitation and Transfer Learning for LQG Control
9:30-9:50am: Preston Culbertson (Caltech): Real-time Risk-sensitive Control via Generative Modeling and Stochastic Control Barrier Functions
9:50-10:10am: Berkay Citmaci (UCLA): Machine Learning-Based Predictive Control Using On-line Model Linearization: Application to an Experimental Electrochemical Reactor
10:10-10:30am: Jie Feng (UCSD): Stability-Constrained Reinforcement Learning for Voltage Control

10:30-11am: Coffee break

11am-12:20pm: Morning Session 2 (Session Chair: Fabio Pasqualetti)

11-11:20am: Asmaa Eldesoukey (UCI): Schrodinger's Control and Estimation Paradigm on Graphs with Absorbing States
11:20-11:40am: Bryce L. Ferguson (UCSB): Collaborative Decision-Making and the k-Strong Price of Anarchy in Common Interest Games
11:40am-12pm: Paul Serna-Torre (UCSD): Non-cooperative Game to Control Learned Inverter Dynamics of Distributed Energy Resources
12-12:20pm: Jimmy Ragan (Caltech): s-FEAST: Safe Fault Estimation via Active Sensing Tree search

12:20-2:10pm: Lunch (bonus: some demos with robots!)

2:10-3:30pm: Afternoon Session 1 (Session Chair: Jay Farrell)

2:10-2:30pm: Will Sharpless (UCSD): HJ Reachability in the Koopman Space with the Hopf Formula
2:30-2:50pm: Charles A. Johnson (UCSB): Nonlinear Data-driven Control via Koopman Models: The Interplay of Model Approximation and Subspace Closure in Stabilization
2:50-3:10pm: Fahimeh Arab (UCR): Causal Discovery for Control: Navigating Large-Scale Low-Resolution Time-Series with Feedback
3:10-3:30pm: Skylar X. Wei (Caltech): Safety-Critical Autonomy in Complex Environment via Data-Driven Set Prediction and Probabilistic Uncertainty Quantification

3:30-4pm: Coffee break

4-5pm: Afternoon Session 2 (Session Chair: Konstantinos Karydis)

4-4:20pm: Junheng Li (USC): Toward Dynamic Locomotion and Loco-manipulation on Humanoid Robots via Model Predictive Control with Linear Dynamics Models
4:20-4:40pm: Ulices Santa Cruz Leal (UCI): Assured Perception for Estimation and Control of Autonomous Aircraft Landing
4:40-5pm: Zhichao Liu (UCR): Modeling, Control and Impact-Inclusive Motion Planning of Compliant Resilient Aerial Robots

5pm: Final Remarks and Workshop Adjourned

Speakers

Taosha Guo

UCR

Imitation and Transfer Learning for LQG Control

Preston Culbertson

Caltech

Real-time risk-sensitive control via generative modeling and stochastic control barrier functions

Berkay Citmaci

UCLA

Machine Learning-Based Predictive Control Using On-line Model Linearization: Application to an Experimental Electrochemical Reactor

Jie Feng

UCSD

Stability-Constrained Reinforcement Learning for Voltage Control

Asmaa Eldesoukey

UCI

Schrodinger's control and estimation paradigm on graphs with absorbing states

Bryce L. Ferguson

UCSB

Collaborative Decision-Making and the k-Strong Price of Anarchy in Common Interest Games

Paul Serna-Torre

UCSD

Non-cooperative Game to Control Learned Inverter Dynamics of Distributed Energy Resources

Jimmy Ragan

Caltech

s-FEAST: Safe Fault Estimation via Active Sensing Tree search

Will Sharpless

UCSD

HJ Reachability in the Koopman Space with the Hopf Formula

Charles A. Johnson

UCSB

Nonlinear data-driven control via Koopman models: the interplay of model approximation and subspace closure in stabilization

Fahimeh Arab

UCR

Causal Discovery for Control: Navigating Large-Scale Low-Resolution Time-Series with Feedback

Skylar X. Wei

Caltech

Safety-Critical Autonomy in Complex Environment via Data-Driven Set Prediction and Probabilistic Uncertainty Quantification

Junheng Li

USC

Toward Dynamic Locomotion and Loco-manipulation on Humanoid Robots via Model Predictive Control with Linear Dynamics Models

Ulices Santa Cruz Leal

UCI

Assured Perception for Estimation and Control of Autonomous Aircraft Landing

Zhichao Liu

UCR

Modeling, Control and Impact-Inclusive Motion Planning of Compliant Resilient Aerial Robots

Venue Information

The Lyceum @ EH&S, UCR

351-395 W Linden St, Riverside, CA 92507

For directions see here. For parking information that has been arranged for this specific event please read below.

Interactive campus map: https://campusmap.ucr.edu/

Parking Information:

The closest lots to park are Lots 20 and 23. General parking (see below is Lot 13).

UC Reciprocity: For those (faculty/staff) with an active UC parking permit from another UC campus, UC Reciprocity is recommended. Relevant information can be found here. When you request a day parking via UC Reciprocity you can either select Lot 20 (closer) or 23. Note that Lot 20 is smaller, so depending on the time you are arriving you may want to check with the kiosk if they have information on available spots left. Permits can be obtained from one of the kiosks, or for parking services (it's actually next to the venue).
General Parking: Please park in Blue Lot 13. The lot is highlighted in the interactive campus map. The lot is about 10-12 minutes away by foot from the meeting place.
- If arriving after 12pm, parking in Blue Lot 13 and in Big Springs Parking Structure 2 is free for the rest of the day.
- We have also setup a system to subsidize parking information for off-campus registered participants in Blue Lot 13. Please send license plate information (number and state), via the form here.
  - Otherwise, out-of-pocket cost in Blue Lot 13 is $13 for all day.
- If any special accommodations are needed, please reach out directly to see what can be made.

For any questions please reach out directly.

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