NorCal Control Workshop Here at UCD
Theme: Current challenges and future directions in automation, systems, and controls.
Goals: Our overarching goal is to spark discussions about the following questions: What are the key challenges in the development of control and automation solutions to the complex problems of today? What are unique future opportunities and problems where control and automation would play a key role?
The 7th NorCal Control Workshop provides a forum to bring together university students, postdocs, and faculty, along with industry representatives, working in the broad area of systems and control. The workshop aims to share knowledge and build new connections in the Northern California region.
Prior Workshops:
Faculty Organizers
Contact
Please contact either Shima (snazari at ucdavis.edu) or Matt (mjellis at ucdavis.edu).
Registration is Now Closed
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9:30 AM - 10:00 AM
10:00 AM - 10:05 AM
Registration and Coffee/Tea
Welcome and Workshop Logistics
10:05 AM - 10:20 AM
10:20 AM - 10:35 AM
10:35 AM - 10:50 AM
Joseph Moyalan
Simon Kuang
Shida Jiang
UC Merced
UC Davis
UC Berkeley
Optimal Planning of Emergency Evacuations Leveraging Equivalent Circuit Models
Measure Twice, Fit Once: Instrumental Variables in Nonlinear System Identification
A New Framework for Nonlinear Kalman Filters
10:50 AM - 11:05 AM
Morning Break and Poster Setup
11:05 AM - 11:20 AM
11:20 AM - 11:35 AM
11:35 AM - 11:50 AM
11:50 AM - 12:05 PM
Piyush Prabhakar Jirwankar
Nathan Lawrence
Carlo Bosio
Hanna Krasowski
UC Santa Cruz
UC Berkeley
UC Berkeley
UC Berkeley
A Robust and Global Hybrid Complementary Filter on SO(3) using Morse Functions on RP3
Local-Global Interface of Reinforcement Learning and Model Predictive Control
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Provably Safe Reinforcement Learning using Set-based Reachability Analysis
12:05 PM - 1:05 PM
Lunch
1:05 PM - 1:20 PM
1:20 PM - 1:35 PM
1:35 PM - 1:50 PM
1:50 PM - 2:05 PM
2:05 PM - 2:20 PM
2:20 PM - 2:35 PM
2:35 PM - 2:50 PM
Bryce L. Ferguson
Ettore Zanetti
Loren dela Rosa
Sang woo Ham
Mojtaba Sharifi
Shamim Ahamed
Farhang Motallebi Araghi
UC Berkeley
LBNL
UC Davis
LBNL
SJSU
UC Davis
UC Davis
Bridging the Gap Between Central and Local Decision-Making: The Efficiency of k-Strong Nash Equilibria
Predictive Control for Energy Systems: BOPTEST Framework and Demonstrations
Predictive Control in Action: Field Demonstration of Heat Pump Water Heater Predictive Control for Multi-Family Housing
Scalable Model Predictive Control (MPC) for Grid-Interactive Small and Medium Commercial Buildings (SMCBs) for Demand Flexibility: From Modeling to Field Deployment
Development and Optimization of a Control Strategy for Lower Limb Exoskeletons to Perform Rehabilitation Exercises for Total Knee Arthroplasty
Fault Detection and Diagnosis of Hydroponic Sensors Using Machine Learning Algorithms
Enabling Energy Efficiency in Connected and Automated Vehicles through Predictive Control Techniques
2:50 PM - 3:30 PM
Afternoon Break and Poster Session
3:30 PM - 3:45 PM
3:45 PM - 4:00 PM
4:00 PM - 4:15 PM
4:15 PM - 4:30 PM
4:30 PM - 4:45 PM
4:45 PM - 5:00 PM
Iman Ebrahimi
Xuchang Tang
Prabhash Ragbir
Himadri Basu
Abhigyan Majumdar
Christopher Strong
UC Merced
UC Davis
UC Davis
UC Santa Cruz
UC Davis
UC Berkeley
Lithium Plating-Aware Fast Charging Control via Control Barrier Functions
Enhancing Large-Scale Evacuations of Electric Vehicles through Integration of Mobile Charging Stations
UAV Swarm for Early Wildfire Detection via Onboard Sensing and Smoke Plume Tracking
Hybrid Model Predictive Control Approach for Spacecraft Proximity Maneuvering and Docking Accounting for Collisions
Turning the Tables on Observables: Inverted Gaussian Process approach to Koopman Operator Learning
Data-Driven Hamiltonian for Direct Construction of Safe Set from Trajectory Data