activity
20182022
most citedPlug-and-Play Secondary Control for Safety of LTI Systems under Attacks

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SY20222 cited

Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks

Yankai Lin, Michelle S. Chong, Carlos Murguia

We consider the problem of controller design for linear time-invariant cyber-physical systems (CPSs) controlled via networks. Specifically, we adopt the set-up that a controller ha…

eess.SY2022

Resilient Set-based State Estimation for Linear Time-Invariant Systems Using Zonotopes

Muhammad Umar B. Niazi, Amr Alanwar, Michelle S. Chong +1

This paper considers the problem of set-based state estimation for linear time-invariant (LTI) systems under time-varying sensor attacks. Provided that the LTI system is stable and…

math.OC2022

Controller confidentiality for nonlinear systems under sensor attacks

Michelle S. Chong

Controller confidentiality under sensor attacks refers to whether the internal states of the controller can be estimated when the adversary knows the model of the plant and control…

math.OC2020

A secure state estimation algorithm for nonlinear systems under sensor attacks

Michelle S. Chong, Henrik Sandberg, Joao P. Hespanha

The state estimation of continuous-time nonlinear systems in which a subset of sensor outputs can be maliciously controlled through injecting a potentially unbounded additive signa…

math.OC2020

Adaptive voltage regulation of an inverter-based power distribution network with a class of droop controllers

Michelle S. Chong, Henrik Sandberg

The voltage received by each customer connected to a power distribution line with local controllers (inverters) is regulated to be within a desired margin through a class of slope-…

math.OC2018

Distributed L1-state-and-fault estimation for Multi-agent systems

Kazumune Hashimoto, Michelle Chong, Dimos V. Dimarogonas

In this paper, we propose a distributed state-and-fault estimation scheme for multi-agent systems. The proposed estimator is based on an -norm optimization problem, which i…