1 citations · 3 across the 7 of their papers we have counts for
7 papers
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…
Chance Constrained Stochastic Optimal Control for Linear Systems with a Time Varying Random Control Matrix
Shawn Priore, Meeko Oishi
This work proposes an open-loop methodology to solve chance constrained stochastic optimal control problems for linear systems with a stochastic control matrix. We consider a joint…
Approximate Stochastic Optimal Control for Linear Time Invariant Systems with Heavy-tailed Disturbances
Shawn Priore, Christopher Petersen, Meeko Oishi
We propose an open loop control scheme for linear time invariant systems perturbed by multivariate disturbances through the use of quantile reformulations. The multivariate …
Chance Constrained Stochastic Optimal Control for Linear Systems with Time Varying Random Plant Parameters
Shawn Priore, Ali Bidram, Meeko Oishi
We propose an open loop control scheme for linear systems with time-varying random elements in the plant's state matrix. This paper focuses on joint chance constraints for potentia…
Approximate Quantiles for Stochastic Optimal Control of LTI Systems with Arbitrary Disturbances
Shawn Priore, Christopher Petersen, Meeko Oishi
We propose a method for open-loop stochastic optimal control of LTI systems based on Taylor approximations of quantile functions. This approach enables efficient computation of qua…