no code implementations • 5 Apr 2024 • Yuezhu Xu, S. Sivaranjani
The Lipschitz constant plays a crucial role in certifying the robustness of neural networks to input perturbations and adversarial attacks, as well as the stability and safety of systems with neural network controllers.
1 code implementation • 6 Mar 2024 • Wesley A. Suttle, Vipul K. Sharma, Krishna C. Kosaraju, S. Sivaranjani, Ji Liu, Vijay Gupta, Brian M. Sadler
We develop provably safe and convergent reinforcement learning (RL) algorithms for control of nonlinear dynamical systems, bridging the gap between the hard safety guarantees of control theory and the convergence guarantees of RL theory.
no code implementations • 27 Sep 2023 • Yuezhu Xu, S. Sivaranjani
The objective of this paper is to learn a neural dynamical model that approximates this system, while preserving the dissipativity property in the model.
no code implementations • 19 Sep 2023 • Vipul K. Sharma, S. Sivaranjani
We consider the problem of designing controllers to guarantee safety in a class of nonlinear systems under uncertainties in the system dynamics and/or the environment.
no code implementations • 15 Jul 2022 • Amit Jena, Tong Huang, S. Sivaranjani, Dileep Kalathil, Le Xie
One standard approach to estimate the stability region of a general nonlinear system is to first find a Lyapunov function for the system and characterize its region of attraction as the stability region.
no code implementations • 8 Mar 2022 • Rayan El Helou, S. Sivaranjani, Dileep Kalathil, Andrew Schaper, Le Xie
In fact, we find that as little as 11% of heavy duty vehicles in Texas charging simultaneously can lead to significant voltage violations on the transmission network that compromise grid reliability.
1 code implementation • 12 Oct 2021 • Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie
The electric grid is a key enabling infrastructure for the ambitious transition towards carbon neutrality as we grapple with climate change.
no code implementations • 4 Feb 2021 • K. C. Kosaraju, S. Sivaranjani, V. Gupta
To achieve this, we propose an optimization based controller design using control barrier functions.
1 code implementation • 11 May 2020 • Guangchun Ruan, Dongqi Wu, Xiangtian Zheng, S. Sivaranjani, Le Xie, Haiwang Zhong, Chongqing Kang
The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U. S. becoming the epicenter of COVID-19 cases and deaths in late March.
Computers and Society