I am currently a post-doctoral researcher at California Institute of Technology under the supervision of Prof. Aaron Ames. My current main research focus is on safe intermittent control of satellites using tools like event-triggered control and control barrier functions. I received a Bachelor's degree in Aerospace Engineering from UCSD in 2012, and a Master's degree in Astronautical Engineering from USC in 2013. During Fall and Winter of 2014, I worked as an intern at Space Exploration Technologies Corp (SpaceX), which has sparked my interests in studying control theory. In 2022, I received my Ph.D. degree from the University of California, San Diego (UCSD), and my Ph.D. advisor was Prof. Jorge Cortés.
I started my post-doctoral research under the guidance of Prof. Aaron Ames at Caltech.Prof Ames's Website
I successfully defended my thesis, and therefore, finished my studies at UCSD. Thank you Prof. Jorge Cortes for being an awesome advisor.
We submitted a paper “Nonsmooth control barrier function design of continuous constraints for network connectivity maintenance” to International Journal of Robotics Research.See Paper
Event-triggered control (ETC) is a tool for accomplishing control tasks while conserving resource usages. Our research involves pushing the boundary on the efficiency of ETC, and at the same time, tying in performance criteria to the trigger design. In addition, we tackle unsolved problems in the area, such as Zeno-free distributed trigger design, and interesting applications of ETC, such as human-robot interaction.
Control barrier functions (CBFs) are employed to address safety concerns, i.e., the possibilities of system trajectory to evolve to undesirable states. Our research focuses on the implementation issues of a CBF-based feedback controller. This includes both smoothness (or continuity) property and resource usage of the controller. One interesting application of CBF we study is connectivity maintenance of a multi-robot system.
Our research explores the excitiing possibilities of applying novel techniques, e.g., event-triggered control and control barrier functions, to network systems in a distributed way. We use tools like graph theory and dynamic average consensus to help with analyses. Applications we look at include multi-robot systems and power systems.
Smoothness property is a desirable trait for real-world applications. Particularly, following Sontag's famous universal formula, we develop our own version of such formula that also takes into account safety criterion from a control barrier function, in addition to the Lyapunov's condition for stability.