1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2023
Ordered Risk Minimization: Learning More from Less Data
Peter Coppens, Panagiotis Patrinos
We consider the worst-case expectation of a permutation invariant ambiguity set of discrete distributions as a proxy-cost for data-driven expected risk minimization. For this frame…
math.OC2022★ 1 cited
Policy iteration using Q-functions: Linear dynamics with multiplicative noise
Peter Coppens, Panagiotis Patrinos
This paper presents a novel model-free and fully data-driven policy iteration scheme for quadratic regulation of linear dynamics with state- and input-multiplicative noise. The imp…
math.OC2022
Provably stable learning control of linear dynamics with multiplicative noise
Peter Coppens, Panagiotis Patrinos
Control of linear dynamics with multiplicative noise naturally introduces robustness against dynamical uncertainty. Moreover, many physical systems are subject to multiplicative di…