Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Aquib Mustafa"'
Autor:
Aquib Mustafa, Dimitra Panagou
Publikováno v:
IEEE Transactions on Control of Network Systems. 10:355-367
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 35:2348-2371
Reinforcement learning (RL) agents with pre-specified reward functions cannot provide guaranteed safety across variety of circumstances that an uncertain system might encounter. To guarantee performance while assuring satisfaction of safety constrain
Publikováno v:
IEEE Transactions on Smart Grid. 11:2588-2603
This paper presents a resilient control framework for distributed frequency and voltage control of AC microgrids under data manipulation attacks. In order for each distributed energy resource (DER) to detect any misbehavior on its neighboring DERs, a
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 7:307-314
In this paper, an event-triggered sliding mode control approach for trajectory tracking problem of nonlinear input affine system with disturbance has been proposed. A second order robotic manipulator system has been modeled into a general nonlinear i
Autor:
Aquib Mustafa, Hamidreza Modares
Publikováno v:
Allerton
The recent growth of cyber-physical systems provides new opportunities to the attackers to undermine the system performance or even destabilize it. This work presents a system theoretic approach for the analysis of the adverse effects of attacks in d
Publikováno v:
International Journal of Electrical Power & Energy Systems. 120:105968
This paper addresses the cyber-threat detection and mitigation in a DC microgrid distributed control system. Due to the deployment of communication and control technologies, a DC microgrid resembles a cyber-physical system that is highly exposed to c
Publikováno v:
Automatica. 115:108869
In this paper, we first address adverse effects of cyber-physical attacks on distributed synchronization of multi-agent systems, by providing conditions under which an attacker can destabilize the underlying network, as well as another set of conditi
Secure Event-Triggered Distributed Kalman Filters for State Estimation over Wireless Sensor Networks
In this paper, we analyze the adverse effects of cyber-physical attacks as well as mitigate their impacts on the event-triggered distributed Kalman filter (DKF). We first show that although event-triggered mechanisms are highly desirable, the attacke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba44423a16316861e37595bd656d0715
Autor:
Aquib Mustafa, Hamidreza Modares
Publikováno v:
Allerton
This paper analyzes and detects the adverse effects of cyber-physical attacks on distributed Kalman filters in sensor networks. To this end, we first evaluate the effect of adversaries on the performance of the sensor network in the distributed state