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Roy S. Smith

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SY1
  • math.DS1
  • math.OC1
ORCID 0000-0002-8139-4683

identity via Semantic Scholar / OpenAlex

most citedA Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2019

Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion

Eva Ahbe, Andrea Iannelli, Roy S. Smith

A method is presented to estimate the region of attraction (ROA) of stochastic systems with finite second moment and uncertainty-dependent equilibria. The approach employs Polynomi…

math.OC2016★ 2 cited

A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control

Giampaolo Torrisi, Sergio Grammatico, Roy S. Smith +1

Projected Gradient Descent denotes a class of iterative methods for solving optimization programs. Its applicability to convex optimization programs has gained significant populari…

math.DS2016

Mutually Quadratically Invariant Information Structures in Two-Team Stochastic Dynamic Games

Marcello Colombino, Roy S. Smith, Tyler H. Summers

We formulate a two-team linear quadratic stochas- tic dynamic game featuring two opposing teams each with decentralized information structures. We introduce the concept of mutual q…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.