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20152023
most citedLearning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

48 citations · 192 across the 38 of their papers we have counts for

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8 papers · 1 filter

eess.SY2023

Learning to Stabilize High-dimensional Unknown Systems Using Lyapunov-guided Exploration

Songyuan Zhang, Chuchu Fan

Designing stabilizing controllers is a fundamental challenge in autonomous systems, particularly for high-dimensional, nonlinear systems that can hardly be accurately modeled with…

eess.SY2023★ 3 cited

Compositional Neural Certificates for Networked Dynamical Systems

Songyuan Zhang, Yumeng Xiu, Guannan Qu +1

Developing stable controllers for large-scale networked dynamical systems is crucial but has long been challenging due to two key obstacles: certifiability and scalability. In this…

eess.SY2021★ 27 cited

Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions

Charles Dawson, Zengyi Qin, Sicun Gao +1

Safety and stability are common requirements for robotic control systems; however, designing safe, stable controllers remains difficult for nonlinear and uncertain models. We devel…

eess.SY2020★ 4 cited

Statistical Verification of Autonomous Systems using Surrogate Models and Conformal Inference

Chuchu Fan, Xin Qin, Yuan Xia +2

In this paper, we propose conformal inference based approach for statistical verification of CPS models. Cyber-physical systems (CPS) such as autonomous vehicles, avionic systems,…

eess.SY2018

Verifying nonlinear analog and mixed-signal circuits with inputs

Chuchu Fan, Yu Meng, Jürgen Maier +3

We present a new technique for verifying nonlinear and hybrid models with inputs. We observe that once an input signal is fixed, the sensitivity analysis of the model can be comput…

eess.SY2017★ 1 cited

Road to safe autonomy with data and formal reasoning

Chuchu Fan, Bolun Qi, Sayan Mitra

We present an overview of recently developed data-driven tools for safety analysis of autonomous vehicles and advanced driver assist systems. The core algorithms combine model-base…

eess.SY2017

DRYVR:Data-driven verification and compositional reasoning for automotive systems

Chuchu Fan, Bolun Qi, Sayan Mitra +1

We present the DRYVR framework for verifying hybrid control systems that are described by a combination of a black-box simulator for trajectories and a white-box transition graph s…

eess.SY2015★ 2 cited

Bounded Verification with On-the-Fly Discrepancy Computation

Chuchu Fan, Sayan Mitra

Simulation-based verification algorithms can provide formal safety guarantees for nonlinear and hybrid systems. The previous algorithms rely on user provided model annotations call…