activity
20182026
most citedStability of Remote Synchronization in Star Networks of Kuramoto Oscillators

12 citations · 33 across the 13 of their papers we have counts for

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Showing eess.SYShow all

9 papers · 1 filter

eess.SY2026

Design of Privacy-Preserving Estimators Under Prior Information Exposure

Le Liu, Yu Kawano, Ming Cao

State estimation is widely used in networked dynamical systems, but released estimates may inadvertently reveal sensitive information about private state variables. Existing privac…

eess.SY2025

A Randomized Scheduling Framework for Privacy-Preserving Multi-robot Rendezvous given Prior Information

Le Liu, Yu Kawano, Ming Cao

Privacy has become a critical concern in modern multi-robot systems, driven by both ethical considerations and operational constraints. As a result, growing attention has been dire…

eess.SY2025

Privacy protection under the exposure of systems' prior information

Le Liu, Yu Kawano, Ming Cao

For systems whose states implicate sensitive information, their privacy is of great concern. While notions like differential privacy have been successfully introduced to dynamical…

eess.SY2025

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

Le Liu, Yu Kawano, Antai Xie +1

In this paper, we investigate initial state privacy protection for discrete-time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy cha…

eess.SY2025

Privacy Preservation for Statistical Input in Dynamical Systems

Le Liu, Yu Kawano, Ming Cao

This paper addresses the challenge of privacy preservation for statistical inputs in dynamical systems. Motivated by an autonomous building application, we formulate a privacy pres…

eess.SY2024★ 5 cited

Design of Stochastic Quantizers for Privacy Preservation

Le Liu, Yu Kawano, Ming Cao

In this paper, we examine the role of stochastic quantizers for privacy preservation. We first employ a static stochastic quantizer and investigate its corresponding privacy-preser…

eess.SY2020

Scalable Control Design for K-positive Linear Systems

Yu Kawano, Fulvio Forni

Systems whose variable are constrained to be positive allow computationally efficient control design. We generalize these results to linear systems which leave a cone invariant. Th…

eess.SY2019★ 1 cited

Partial Exponential Stability Analysis of Slow-fast Systems via Periodic Averaging

Yuzhen Qin, Yu Kawano, Brian D. O. Anderson +1

This paper presents some new criteria for partial exponential stability of a slow-fast nonlinear system with a fast scalar variable using periodic averaging methods. Unlike classic…

eess.SY2019★ 2 cited

Design of Privacy-Preserving Dynamic Controllers

Yu Kawano, Ming Cao

As a quantitative criterion for privacy of "mechanisms" in the form of data-generating processes, the concept of differential privacy was first proposed in computer science and has…