Search Results for author: Hyungbo Shim

Found 17 papers, 1 papers with code

Learning with errors based dynamic encryption that discloses residue signal for anomaly detection

no code implementations3 Apr 2024 Yeongjun Jang, Joowon Lee, Junsoo Kim, Hyungbo Shim

Implementing anomaly detection on encrypted control systems has been a challenge because it is hard to detect an anomaly from the encrypted residue signal without the secret key.

Anomaly Detection

Mode Consensus Algorithms With Finite Convergence Time

no code implementations1 Mar 2024 Chao Huang, Hyungbo Shim, Siliang Yu, Brian D. O. Anderson

This paper studies the distributed mode consensus problem in a multi-agent system, in which the agents each possess a certain attribute and they aim to agree upon the mode (the most frequent attribute owned by the agents) via distributed computation.

Attribute

Fully Decentralized Design of Initialization-free Distributed Network Size Estimation

no code implementations15 Jan 2024 Donggil Lee, Taekyoo Kim, Seungjoon Lee, Hyungbo Shim

In this paper, we propose a distributed scheme for estimating the network size, which refers to the total number of agents in a network.

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

no code implementations7 Jul 2023 Joowon Lee, Donggil Lee, Junsoo Kim, Hyungbo Shim

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 homomorphic encryption.

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

no code implementations17 Mar 2023 Hyuntae Kim, Hamin Chang, Hyungbo Shim

This paper proposes a data-driven state feedback controller that enables reference tracking for nonlinear discrete-time systems.

GPR regression

Data-Driven Inverse of Linear Systems and Application to Disturbance Observers

no code implementations14 Nov 2022 Yongsoon Eun, Jaeho Lee, Hyungbo Shim

Specifically, the problem addressed here is to find an input sequence from the corresponding output sequence based on pre-collected input and output data.

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

no code implementations11 Oct 2022 Jeong Woo Kim, Jin Gyu Lee, Donggil Lee, Hyungbo Shim

We develop a discrete-time version of the blended dynamics theorem for the use of designing distributed computation algorithms.

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

no code implementations5 Oct 2022 Hyuntae Kim, Hamin Chang, Hyungbo Shim

However, the outcomes of Gaussian process regression are often too complicated to apply conventional control designs, which makes the numerical design such as model predictive control employed in many cases.

Model Predictive Control regression

Data-driven Output-feedback Predictive Control: Unknown Plant's Order and Measurement Noise

1 code implementation10 Jan 2022 Nam H. Jo, Hyungbo Shim

The aim of this paper is to propose a new data-driven control scheme for multi-input-multi-output linear time-invariant systems whose system model are completely unknown.

Toward nonlinear dynamic control over encrypted data for infinite time horizon

no code implementations12 Oct 2021 Junsoo Kim, Farhad Farokhi, Iman Shames, Hyungbo Shim

In this note, we demonstrate that it is possible to run a dynamic controller over encrypted data for an infinite time horizon if the output of the controller can be represented as a function of a fixed number of previous inputs and outputs.

Quantization

Edge-wise funnel output synchronization of heterogeneous agents with relative degree one

no code implementations11 Oct 2021 Jin Gyu Lee, Thomas Berger, Stephan Trenn, Hyungbo Shim

However, to compute the magnitude of the coupling gain, each agent needs to know global information such as the number of participating nodes, the graph structure, and so on, which prevents a fully decentralized design of the node dynamics in conjunction with the coupling laws.

Design of heterogeneous multi-agent system for distributed computation

no code implementations1 Jan 2021 Jin Gyu Lee, Hyungbo Shim

Under stability of the averaged dynamics (not asking stability of individual agents), the behavior of heterogeneous multi-agent system can be estimated by the solution to the averaged dynamics.

Distributed Optimization

Synchronization with prescribed transient behavior: Heterogeneous multi-agent systems under funnel coupling Extended arXiv version

no code implementations29 Dec 2020 Jin Gyu Lee, Stephan Trenn, Hyungbo Shim

The proposed coupling law is motivated by the so-called funnel control method studied in adaptive control under the observation that arbitrary precision synchronization can be achieved for heterogeneous multi-agent systems by a high-gain coupling; consequently we call our novel synchronization method `(node-wise) funnel coupling.'

Decentralized Design and Plug-and-Play Distributed Control for Linear Multi-Channel Systems

no code implementations19 Nov 2020 Taekyoo Kim, Donggil Lee, Hyungbo Shim

We propose a distributed control, in which many identical control agents are deployed for controlling a linear time-invariant plant that has multiple input-output channels.

Fully Distributed Resilient State Estimation based on Distributed Median Solver

no code implementations16 Feb 2020 Jin Gyu Lee, Junsoo Kim, Hyungbo Shim

In this paper, we present a scheme of fully distributed resilient state estimation for linear dynamical systems under sensor attacks.

Dynamic controller that operates over homomorphically encrypted data for infinite time horizon

no code implementations9 Dec 2019 Junsoo Kim, Hyungbo Shim, Kyoohyung Han

In this paper, we present a dynamic feedback controller that computes the next state and the control signal over encrypted data using homomorphic properties of cryptosystems, whose performance is equivalent to the linear dynamic controllers over real-valued data.

Distributed Algorithm for Economic Dispatch Problem with Separable Losses

no code implementations30 Apr 2019 Seungjoon Lee, Hyungbo Shim

Economic dispatch problem for a networked power system has been considered.

Systems and Control

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