45 citations · 52 across the 10 of their papers we have counts for
11 papers
Frequency-domain Gaussian Process Models for Uncertainties
Alex Devonport, Peter Seiler, Murat Arcak
Complex-valued Gaussian processes are commonly used in Bayesian frequency-domain system identification as prior models for regression. If each realization of such a process were an…
Frequency Domain Gaussian Process Models for Uncertainties
Alex Devonport, Peter Seiler, Murat Arcak
Complex-valued Gaussian processes are used in Bayesian frequency-domain system identification as prior models for regression. If each realization of such a process were an $H_\inft…
Machine Learning for Smart and Energy-Efficient Buildings
Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan +7
Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the U.S., and similar numbers are being reported from countr…
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…
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…
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…