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20022026
most citedFinite Horizon Robustness Analysis of LTV Systems Using Integral Quadratic Constraints

59 citations · 326 across the 66 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

eess.SY2021★ 1 cited

Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions

Alex Devonport, Forest Yang, Laurent El Ghaoui +1

We present algorithms for estimating the forward reachable set of a dynamical system using only a finite collection of independent and identically distributed samples. The produced…

eess.SY2021

DaDRA: A Python Library for Data-Driven Reachability Analysis

Jared Mejia, Alex Devonport, Murat Arcak

Reachability analysis is used to determine all possible states that a system acting under uncertainty may reach. It is a critical component to obtain guarantees of various safety-c…

eess.SY2021★ 2 cited

Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems

Fangda Gu, He Yin, Laurent El Ghaoui +3

Neural network controllers have become popular in control tasks thanks to their flexibility and expressivity. Stability is a crucial property for safety-critical dynamical systems,…

eess.SY2021

Speed Advisory System Using Real-Time Actuated Traffic Light Phase Length Prediction

Mikhail Burov, Murat Arcak, Alexander Kurzhanskiy

Speed advisory systems for connected vehicles rely on the estimation of green (or red) light duration at signalized intersections. A particular challenge is to predict the signal p…

cs.GT2021★ 1 cited

Detecting Braess Routes: an Algorithm Accounting for Queuing Delays With an Extended Graph

Mikhail Burov, Can Kizilkale, Alexander Kurzhanskiy +1

The Braess paradox is a counter-intuitive phenomenon whereby adding roads to a network results in higher travel time at equilibrium. In this paper we present an algorithm to detect…

eess.SY2021

Data-Driven Reachability Analysis with Christoffel Functions

Alex Devonport, Forest Yang, Laurent El Ghaoui +1

We present an algorithm for data-driven reachability analysis that estimates finite-horizon forward reachable sets for general nonlinear systems using level sets of a certain class…