Search Results for author: Emily Jensen

Found 7 papers, 0 papers with code

Grouping of $N-1$ Contingencies for Controller Synthesis: A Study for Power Line Failures

no code implementations11 Apr 2024 Neelay Junnarkar, Emily Jensen, Xiaofan Wu, Suat Gumussoy, Murat Arcak

The problem of maintaining power system stability and performance after the failure of any single line in a power system (an "N-1 contingency") is investigated.

A Convex Parameterization of Controllers Constrained to use only Relative Measurements

no code implementations24 Oct 2023 Walden Marshall, Bassam Bamieh, Emily Jensen

The optimal controller design problem for systems equipped with sensors that measure only relative, rather than absolute, quantities is considered.

Certifying Stability and Performance of Uncertain Differential-Algebraic Systems: A Dissipativity Framework

no code implementations16 Aug 2023 Emily Jensen, Neelay Junnarkar, Murat Arcak, Xiaofan Wu, Suat Gumussoy

This paper presents a novel framework for characterizing dissipativity of uncertain dynamical systems subject to algebraic constraints.

Mathematical Models of Human Drivers Using Artificial Risk Fields

no code implementations24 May 2022 Emily Jensen, Maya Luster, Hansol Yoon, Brandon Pitts, Sriram Sankaranarayanan

In this paper, we use the concept of artificial risk fields to predict how human operators control a vehicle in response to upcoming road situations.

Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment

no code implementations26 Apr 2022 Margaret P. Chapman, Emily Jensen, Steven M. Chan, Laurent Lessard

We study a partially observable nonlinear stochastic system with unknown parameters, where the given time scales of the states and measurements may be distinct.

Management

An Explicit Parametrization of Closed Loops for Spatially Distributed Controllers with Sparsity Constraints

no code implementations8 Dec 2020 Emily Jensen, Bassam Bamieh

This admits more efficient IIR representations of the temporal part of the closed-loop dynamics, and it allows for the H2 design problem with closed-loop spatial sparsity constraints to be converted to a standard model matching problem, with the number of transfer function parameters scaling linearly with the closed-loop spatial extent constraint.

On Structured-Closed-Loop versus Structured-Controller Design: the Case of Relative Measurement Feedback

no code implementations25 Aug 2020 Emily Jensen, Bassam Bamieh

We consider the optimal distributed controller design problem subject to two structural requirements: locality, i. e. available measurements and sub-controllers' interactions are governed by a graph structure, and relative feedback, i. e. only differences of measurements are available to the controller.

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