Watch today the 2nd Conference on Learning for Dynamics and Control on the L4DC 2020 Livestream starting at 11AM EST (Thursday, June 11) youtu.be/b_sJb1k9dVY via YouTube #l4dc

Oldies but goldies: Aleksandr Lyapunov, The general problem of the stability of motion, 1892. Lyapunov functions of an ODE are functions which decay along the flows of the ODE. The basic method to show convergence to a stationary point and its stability. en.wikipedia.org/wiki/Lyapunov_…

Disallowed proof techniques :-)

Hello world! 😀 Just like that, the first podcast on control theory is born 😀 You can find us on all major podcasting & social media platforms. Feel free to click subscribe and leave us a rating/review - we would love to hear from you 😊 #incontrol #podcast #controltheory

"No automation, no AI, no machine learning" is a perfectly reasonable set of design principles.

IEEE Control Systems Society #CDC22 Interested in CPS security? Here is an invited session "Learning & AI Methods for CPS Security" 13:30-15:30 FrBT17 Acapulco, organized by Prof. Quanyan Zhu (NYU) and me. Feel free to drop by!

Learning LQG controllers is easy when you have access to an optimal control sequence, and easier when you have seen a number of tasks. No need to know the system, the cost function, and the noise statistics! arxiv.org/abs/2303.09002 Taosha Guo Abed AlRahman Al Makdah @VishaalKrishna1

Data-driven control for network and multi-agent systems, via finite-time distributed computation and with robustness guarantees 👇🏽 ieeexplore.ieee.org/document/10076… Federico Celi

I've loosely followed the development of this game for a while, and am really excited to see it come to life. It brings me back to the carefree days of noodling around with graphing calculator drawings in school. So far I'm impressed with how fun it turns out to be to play.

Congrats to our team for winning the Best Paper Award at #Druid23 for their research, "Eight Decades of Changes in Occupational Tasks, Computerization and the Gender Pay Gap." Ljubica Nedelkoska Shreyas Gadgin Matha James McNerney @aassumpcao_ Dario Diodato Frank Neffke 1/3

Excited to announce our latest paper on PISA: a cutting-edge data-driven algorithm for predicting autonomous AI agents’ behavior! 🚀🔍 Co-authors: Darshan Gadginmath Fabio Pasqualetti Paper Link: arxiv.org/pdf/2406.02723 Huge thanks to my amazing collaborators! 🙌

🚀 Our paper (with José Morales-Arilla) on the GLocal dataset is now published in Nature's Scientific Data! GLocal aggregates several satellite imagery-derived datasets and other complex data sources to administrative boundaries, making it easier than ever to work with these datasets.

Excited to have presented at the University of Southern California Cyber-Physical Systems seminar series on a probabilistic perspective for interpreting AI behavior and developing nonlinear controllers! Comments are much appreciated: darshangm.github.io/files/usc-cps-…