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20182022
most citedStability Analysis using Quadratic Constraints for Systems with Neural Network Controllers

14 citations · 69 across the 16 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

eess.SY2020★ 7 cited

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…

eess.SY2020

Co-design of Control and Planning for Multi-rotor UAVs with Signal Temporal Logic Specifications

Yash Vardhan Pant, He Yin, Murat Arcak +1

Urban Air Mobility (UAM), or the scenario where multiple manned and Unmanned Aerial Vehicles (UAVs) carry out various tasks over urban airspaces, is a transportation concept of the…

eess.SY2020★ 14 cited

Stability Analysis using Quadratic Constraints for Systems with Neural Network Controllers

He Yin, Peter Seiler, Murat Arcak

A method is presented to analyze the stability of feedback systems with neural network controllers. Two stability theorems are given to prove asymptotic stability and to compute an…

eess.SY2020

Passivity-based distributed acquisition and station-keeping control of a satellite constellation in areostationary orbit

Emmanuel Sin, He Yin, Murat Arcak

We present a distributed control law to assemble a cluster of satellites into an equally-spaced, planar constellation in a desired circular orbit about a planet. We assume each sat…

eess.SY2020

Bayesian Safe Learning and Control with Sum-of-Squares Analysis and Polynomial Kernels

Alex Devonport, He Yin, Murat Arcak

We propose an iterative method to safely learn the unmodeled dynamics of a nonlinear system using Bayesian Gaussian process (GP) models with polynomial kernel functions. The method…

eess.SY2020

Backward Reachability using Integral Quadratic Constraints for Uncertain Nonlinear Systems

He Yin, Peter Seiler, Murat Arcak

A method is proposed to compute robust inner-approximations to the backward reachable set for uncertain nonlinear systems. It also produces a robust control law that drives traject…