15 citations · 38 across the 12 of their papers we have counts for
21 papers
Forward Reachability for Discrete-Time Nonlinear Stochastic Systems via Mixed-Monotonicity and Stochastic Order
Vignesh Sivaramakrishnan, Rosalyn A. Devonport, Murat Arcak +1
We present a method to overapproximate forward stochastic reach sets of discrete-time, stochastic nonlinear systems with interval geometry. This is made possible by extending the t…
Blameless and Optimal Control under Prioritized Safety Constraints
Natalia Pavlasek, Sarah H. Q. Li, Behçet Açıkmeşe +2
In many resource-limited optimal control problems, multiple constraints may be enforced that are jointly infeasible due to external factors such as subsystem failures, unexpected d…
Stochastic Reachability of Uncontrolled Systems via Probability Measures: Approximation via Deep Neural Networks
Karthik Sivaramakrishnan, Vignesh Sivaramakrishnan, Rosalyn Alex Devonport +1
This paper poses a theoretical characterization of the stochastic reachability problem in terms of probability measures, capturing the probability measure of the state of the syste…
Chance Constrained Stochastic Optimal Control Based on Sample Statistics With Almost Surely Probabilistic Guarantees
Shawn Priore, Meeko Oishi
While techniques have been developed for chance constrained stochastic optimal control using sample disturbance data that provide a probabilistic confidence bound for chance constr…
Stochastic Optimal Control For Gaussian Disturbances with Unknown Mean and Variance Based on Sample Statistics
Shawn Priore, Meeko Oishi
We propose an open loop methodology based on sample statistics to solve chance constrained stochastic optimal control problems with probabilistic safety guarantees for linear syste…
Chance Constrained Stochastic Optimal Control for Arbitrarily Disturbed LTI Systems Via the One-Sided Vysochanskij-Petunin Inequality
Shawn Priore, Meeko Oishi
While many techniques have been developed for chance constrained stochastic optimal control with Gaussian disturbance processes, far less is known about computationally efficient m…