no code implementations • 3 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.
no code implementations • 1 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.
no code implementations • 15 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.
no code implementations • 7 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.
no code implementations • 17 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.
no code implementations • 14 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.
no code implementations • 11 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.
no code implementations • 5 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.
1 code implementation • 10 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.
no code implementations • 12 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.
no code implementations • 11 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.
no code implementations • 1 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.
no code implementations • 29 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.'
no code implementations • 19 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.
no code implementations • 16 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.
no code implementations • 9 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.
no code implementations • 30 Apr 2019 • Seungjoon Lee, Hyungbo Shim
Economic dispatch problem for a networked power system has been considered.
Systems and Control