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20202023
most citedOn Attack Detection and Identification for the Cyber-Physical System using Lifted System Model

2 citations · 6 across the 13 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

eess.SY2022★ 2 cited

On Attack Detection and Identification for the Cyber-Physical System using Lifted System Model

Dawei Sun, Minhyun Cho, Inseok Hwang

Motivated by the safety and security issues related to cyber-physical systems with potentially multi-rate, delayed, and nonuniformly sampled measurements, we investigate the attack…

eess.SY2022

Data-driven Cyberattack Synthesis against Network Control Systems

Omanshu Thapliyal, Inseok Hwang

Network Control Systems (NCSs) pose unique vulnerabilities to cyberattacks due to a heavy reliance on communication channels. These channels can be susceptible to eavesdropping, fa…

eess.SY2022

Approximating Reachable Sets for Neural Network based Models in Real-Time via Optimal Control

Omanshu Thapliyal, Inseok Hwang

In this paper, we present a data-driven framework for real-time estimation of reachable sets for control systems where the plant is modeled using neural networks (NNs). We utilize…

eess.SY2022

Log-linear Dynamic Inversion Control with Provable Safety Guarantees in Lie Groups

Li-Yu Lin, James Goppert, Inseok Hwang

In this paper, we use the derivative of the exponential map to derive the exact evolution of the logarithm of the tracking error for mixed-invariant systems, a class of systems cap…

eess.SY2022

A Novel Approach to Set-Membership Observer for Systems with Unknown Exogenous Inputs

Marvin Jesse, Dawei Sun, Inseok Hwang

Motivated by the increasing need to monitor safety-critical systems subject to uncertainties, a novel set-membership approach is proposed to estimate the state of a dynamical syste…

eess.SY2022

Direct Data-Driven Discrete-time Bilinear Biquadratic Regulator

Shanelle G. Clarke, Omanshu Thapliyal, Inseok Hwang

We present a novel direct data-driven algorithm that learns an optimal control policy for the Bilinear Biquadratic Regulator (BBR) for an unknown bilinear system. The BBR is diffic…

eess.SY2022

State Prediction of Human-in-the-Loop Multi-rotor System with Stochastic Human Behavior Model

Joonwon Choi, Sooyung Byeon, Inseok Hwang

Reachability analysis is a widely used method to analyze the safety of a Human-in-the-Loop Cyber Physical System (HiLCPS). This strategy allows the HiLCPS to respond against an imm…