activity
20202024
most citedDiffTune: Auto-Tuning through Auto-Differentiation

7 citations · 13 across the 9 of their papers we have counts for

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6 papers · 1 filter

eess.SY2023

Verification of Adaptive Control using Verse Library: A Case Study of Quadrotors

Lin Song, Yangge Li, Sheng Cheng +3

adaptive control (AC) is a control design technique that can handle a broad class of system uncertainties and provide transient performance guarantees. In this work-in-p…

eess.SY2022

Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States

Lin Song, Pan Zhao, Neng Wan +1

This paper presents a novel approach for achieving safe stochastic optimal control in networked multi-agent systems (MASs). The proposed method incorporates barrier states (BaSs) i…

eess.SY2022★ 1 cited

Simplified Analysis on Filtering Sensitivity Trade-offs in Continuous- and Discrete-Time Systems

Neng Wan, Dapeng Li, Lin Song +1

A simplified analysis is performed on the Bode-type filtering sensitivity trade-off integrals, which capture the sensitivity characteristics of the estimate and estimation error wi…

eess.SY2021

Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems

Lin Song, Neng Wan, Aditya Gahlawat +3

We propose a unified framework to fast generate a safe optimal control action for a new task from existing controllers on Multi-Agent Systems (MASs). The control action composition…

eess.SY2020★ 2 cited

Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems

Lin Song, Neng Wan, Aditya Gahlawat +2

In this paper, we discuss the methodology of generalizing the optimal control law from learned component tasks to unlearned composite tasks on Multi-Agent Systems (MASs), by using…

eess.SY2020

Contraction -Adaptive Control using Gaussian Processes

Aditya Gahlawat, Arun Lakshmanan, Lin Song +4

We present -, a control framework that enables safe simultaneous learning and control for systems subject to uncertainties. The two main constituents…