976 citations · 4.3k across the 115 of their papers we have counts for
129 papers
RoSSO: A High-Performance Python Package for Robotic Surveillance Strategy Optimization Using JAX
Yohan John, Connor Hughes, Gilberto Diaz-Garcia +2
To enable the computation of effective randomized patrol routes for single- or multi-robot teams, we present RoSSO, a Python package designed for solving Markov chain optimization…
A Stochastic Surveillance Stackelberg Game: Co-Optimizing Defense Placement and Patrol Strategy
Yohan John, Gilberto Diaz-Garcia, Xiaoming Duan +2
Stochastic patrol routing is known to be advantageous in adversarial settings; however, the optimal choice of stochastic routing strategy is dependent on a model of the adversary.…
Learning Robust Data-based LQG Controllers from Noisy Data
Wenjie Liu, Jian Sun, Gang Wang +2
This paper addresses the joint state estimation and control problems for unknown linear time-invariant systems subject to both process and measurement noise. The aim is to redesign…
Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach
Alexander Davydov, Veronica Centorrino, Anand Gokhale +2
In this article, we provide a novel and broadly-applicable contraction-theoretic approach to continuous-time time-varying convex optimization. For any parameter-dependent contracti…
Non-Euclidean Monotone Operator Theory and Applications
Alexander Davydov, Saber Jafarpour, Anton V. Proskurnikov +1
While monotone operator theory is often studied on Hilbert spaces, many interesting problems in machine learning and optimization arise naturally in finite-dimensional vector space…
Semicontraction and Synchronization of Kuramoto-Sakaguchi Oscillator Networks
Robin Delabays, Francesco Bullo
This paper studies the celebrated Kuramoto-Sakaguchi model of coupled oscillators adopting two recent concepts. First, we consider appropriately-defined subsets of the -torus ca…