13 citations · 46 across the 11 of their papers we have counts for
13 papers · 1 filter
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…
Trajectory-based Robustness Analysis for Nonlinear Systems
Peter Seiler, Raghu Venkataraman
This paper considers the robustness of an uncertain nonlinear system along a finite-horizon trajectory. The uncertain system is modeled as a connection of a nonlinear system and a…
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…
Imitation Learning with Stability and Safety Guarantees
He Yin, Peter Seiler, Ming Jin +1
A method is presented to learn neural network (NN) controllers with stability and safety guarantees through imitation learning (IL). Convex stability and safety conditions are deri…
Iterative Best Response for Multi-Body Asset-Guarding Games
Emmanuel Sin, Murat Arcak, Douglas Philbrick +1
We present a numerical approach to finding optimal trajectories for players in a multi-body, asset-guarding game with nonlinear dynamics and non-convex constraints. Using the Itera…
An Efficient Algorithm to Compute Norms for Finite Horizon, Linear Time-Varying Systems
Jyot Buch, Murat Arcak, Peter Seiler
We present an efficient algorithm to compute the induced norms of finite-horizon Linear Time-Varying (LTV) systems. The formulation includes both induced and termin…