Browsing by Author "Meskin, Nader"
Now showing items 1-10 of 10
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Data-driven fault detection and isolation of nonlinear systems using deep learning for Koopman operator
( ISA - Instrumentation, Systems, and Automation Society , 2023 , Article)This paper proposes a data-driven actuator fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses a deep neural network architecture to obtain an invariant set of basis ... -
Data-Driven Koopman Operator Based Cyber-Attacks for Nonlinear Control Affine Cyber-Physical Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)This paper studies the data-driven implementation of stealthy cyber-attacks for a class of nonlinear cyber-physical systems (CPS). In particular, we consider and study zero dynamics and covert cyber-attacks. By utilizing ... -
Fault Diagnosis Of Sensor And Actuator Faults In Multi-Zone Hvac Systems
(2019 , Master Thesis)Globally, the buildings sector accounts for 30% of the energy consumption and more than 55% of the electricity demand. Specifically, the Heating, Ventilation, and Air Conditioning (HVAC) system is the most extensively ... -
High-Power Multiport Dc-Dc Converter For PV Farm Applications
(2019 , Master Thesis)The trend toward generating electricity from renewable energy sources has encouraged researchers to work on finding more reliable and efficient ways of combining various sources, storage systems, and loads with different ... -
Koopman Operator Approximation Under Negative Imaginary Constraints
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Nonlinear Negative Imaginary (NI) systems arise in various engineering applications, such as controlling flexible structures and air vehicles. However, unlike linear NI systems, their theory is not well-developed. In this ... -
Modified Particle Filters for Detection of False Data Injection Attacks and State Estimation in Networked Nonlinear Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Networked control systems which transfer data over communication networks may suffer from malicious cyber attacks by injecting false data to the transferred information. Such attacks can cause performance degradation of ... -
Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities
( Elsevier Ltd , 2022 , Article)Sports facilities are considered complex buildings due to their high energy demand and occupancy profiles. Therefore, their management and optimization are crucial for reducing their energy consumption and carbon footprint ... -
Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.
( Elsevier , 2019 , Article)In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment ... -
A review of mathematical model-based scenario analysis and interventions for COVID-19
( Elsevier , 2021 , Article)Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness ... -
Security Analysis of Merging Control for Connected and Automated Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Securing traffic flows in internet of vehicles (IoV) environments for connected and automated vehicles (CAVs) is a critical task as it should be done in real-time to allow vehicles' controllers engagement on time. In this ...
