activity
20222026
most citedA Design Method of Distributed Algorithms via Discrete-time Blended Dynamics Theorem

5 citations · 13 across the 11 of their papers we have counts for

collaborators

12 papers

eess.SY2026

On stability of a distributed observer over switching networks: The case of commutative coupling

Sunghyun Koo, Jin Gyu Lee, Hyungbo Shim

Distributed state estimation algorithms have been extended to switching networks, which model unreliable communication networks. Yet existing results apply only to specific classes…

cs.RO2026

Demonstration of Space Robot Teleoperation over a Lossy and Delayed Network using ATMOS

Inkyu Jang, Gregorio Marchesini, Nicola De Carli +15

We present a demonstration showcasing the Autonomy Testbed for Multi-purpose Orbiting Systems (ATMOS), a planar spacecraft-analog robot designed for hardware-in-the-loop evaluation…

eess.SY2026

Emergent Behavior Is Robust to Communication Delays at the Cost of Slower System Evolution

Seokho Jeong, Jin Gyu Lee, Hyungbo Shim

Previous works have shown that strong coupling among heterogeneous agents enforces practical synchronization, leading to collective behavior governed by emergent dynamics. However,…

eess.SY2025

A Note on Emergent Behavior in Multi-agent Systems Enabled by Neuro-spike Communication

Hyeonyeong Jang, Donghyeon Song, Jin Gyu Lee +1

In this note, we present a novel synchronization framework for heterogeneous multi-agent systems enabled by neuro-spike communication, which induces emergence. Unlike conventional…

eess.SY2025

Ensuring Stability of Non-Minimal Modes in Input-Output Data-Driven Representation

Joowon Lee, Nam Hoon Jo, Hyungbo Shim +2

Many recent data-driven control approaches for linear time-invariant systems are based on output trajectory prediction using input-output data matrices. The system dynamics describ…

math.OC2025

A polynomial-based QCQP solver for encrypted optimization

Sebastian Schlor, Andrea Iannelli, Junsoo Kim +2

In this paper, we present a novel method for solving a class of quadratically constrained quadratic optimization problems using only additions and multiplications. This approach en…

eess.SY2024

A Learning With Errors based encryption scheme for dynamic controllers that discloses residue signal for anomaly detection

Yeongjun Jang, Joowon Lee, Junsoo Kim +2

Although encrypted control systems ensure confidentiality of private data, it is challenging to detect anomalies without the secret key as all signals remain encrypted. To address…

eess.SY2024★ 1 cited

Fully Decentralized Design of Initialization-free Distributed Network Size Estimation

Donggil Lee, Taekyoo Kim, Seungjoon Lee +1

In this paper, we propose a distributed scheme for estimating the network size, which refers to the total number of agents in a network. By leveraging a synchronization technique f…

eess.SY2023★ 5 cited

Encrypted Dynamic Control exploiting Limited Number of Multiplications and a Method using RLWE-based Cryptosystem

Joowon Lee, Donggil Lee, Junsoo Kim +1

In this paper, we present a method to encrypt dynamic controllers that can be implemented through most homomorphic encryption schemes, including somewhat, leveled fully, and fully…

eess.SY2023★ 1 cited

Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller

Hyuntae Kim, Hamin Chang, Hyungbo Shim

This paper proposes a data-driven state feedback controller that enables reference tracking for nonlinear discrete-time systems. The controller is designed based on the identified…

cs.CR2022★ 1 cited

Comparison of encrypted control approaches and tutorial on dynamic systems using LWE-based homomorphic encryption

Junsoo Kim, Dongwoo Kim, Yongsoo Song +3

Encrypted control has been introduced to protect controller data by encryption at the stage of computation and communication, by performing the computation directly on encrypted da…

eess.SY2022★ 5 cited

A Design Method of Distributed Algorithms via Discrete-time Blended Dynamics Theorem

Jeong Woo Kim, Jin Gyu Lee, Donggil Lee +1

We develop a discrete-time version of the blended dynamics theorem for the use of designing distributed computation algorithms. The blended dynamics theorem enables to predict the…