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20162025
most citedA Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control

2 citations · 5 across the 14 of their papers we have counts for

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math.OC20241 cited

Distributed Dual Quaternion Extended Kalman Filtering for Spacecraft Pose Estimation

Mathias Hudoba de Badyn, Jonas Binz, Andrea Iannelli +1

In this paper, a distributed dual-quaternion multiplicative extended Kalman filter for the estimation of poses and velocities of individual satellites in a fleet of spacecraft is a…

math.OC2024

Data-Driven Structured Robust Control of Linear Systems

Jared Miller, Jaap Eising, Florian Dörfler +1

Static structured control refers to the task of designing a state-feedback controller such that the control gain satisfies a subspace constraint. Structured control has application…

math.OC20241 cited

Peak Time-Windowed Risk Estimation of Stochastic Processes

Jared Miller, Niklas Schmid, Matteo Tacchi +2

This paper develops a method to upper-bound extreme-values of time-windowed risks for stochastic processes. Examples of such risks include the maximum average or 90% quantile of th…

math.OC2023

Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization

Ran Chen, Amber Srivastava, Mingzhou Yin +1

This paper introduces a dual input-output parameterization (dual IOP) for the identification of linear time-invariant systems from closed-loop data. It draws inspiration from the r…

math.OC20162 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…