Browsing by Author "Meskin, Nader"
Now showing items 1-20 of 229
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A Bayesian approach for estimation of linear-regression LPV models
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)In this paper, a Bayesian framework for identification of linear parameter-varying (LPV) models with finite impulse response (FIR) dynamic structure is introduced, in which the dependency structure of LPV system on the ... -
A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Obtaining mathematical models that can accurately describe nonlinear dynamics of complex processes and be further used for model-based control design is a challenging task. In this brief, a Bayesian approach is introduced ... -
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ... -
A Comprehensive Review of Digital Twin Technology in Building Energy Consumption Forecasting
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)With the global rise in urban populations, energy consumption in buildings has become a critical issue, now accounting for about 30% of total global energy use. Developing powerful energy forecasting systems is challenging ... -
A comprehensive review of the cyber-attacks and cyber-security on load frequency control of power systems
( MDPI AG , 2020 , Article Review)Power systems are complex systems that have great importance to socio-economic development due to the fact that the entire world relies on the electric network power supply for day-to-day life. Therefore, for the stable ... -
A Cyber-Security Methodology for a Cyber-Physical Industrial Control System Testbed
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Due to recent increase in deployment of Cyber-Physical Industrial Control Systems in different critical infrastructures, addressing cyber-security challenges of these systems is vital for assuring their reliability and ... -
A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity
( Elsevier , 2023 , Article)Sensor faults in heating, ventilation, and air conditioning (HVAC) systems are inevitable and result in significant energy waste. This paper presents an innovative data-driven approach for sensor fault detection and isolation ... -
A Distributed Control Reconfiguration and Accommodation for Consensus Achievement of Multiagent Systems Subject to Actuator Faults
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)This paper tackles the development of distributed control reconfiguration and fault accommodation strategies for consensus achievement in multiagent systems in the presence of faulty agents whose actuators are unable to ... -
A Distributed High-Impedance Fault Detection and Protection Scheme in DC Microgrids
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)This paper proposes a high-impedance fault (HIF) detection and protection scheme for DC microgrids. HIFs occur when a (live) conductor makes contact with a surface which restricts the flow of fault current to a level that ... -
A dual-isolation-forests-based attack detection framework for industrial control systems
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The cybersecurity of industrial control systems (ICSs) is becoming increasingly critical under the current advancement in the cyber activity and the Internet of Things (IoT) technologies, and their direct impact on several ... -
A dynamic prognosis scheme for flexible operation of gas turbines
( Elsevier Ltd , 2016 , Article)The increase in energy demand has led to expansion of renewable energy sources and their integration into a more diverse energy mix. Consequently the operation of thermal power plants, which are spearheaded by the gas ... -
A Functional Unknown Input Observer for Linear Singular Fornasini–Marchesini First Model Systems: With Application to Fault Diagnosis
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Estimation of the state variables of dynamical systems in the presence of noise, disturbance, and fault is an important problem in the control and monitoring field. In this article, the mentioned issue is addressed for ... -
A general multicompartment lung mechanics model with nonlinear resistance and compliance respiratory parameters
( IEEE , 2014 , Conference)In this paper, we develop a nonlinear multicompartment lung mechanics model that accounts for nonlinearities in both the airway resistances and the lung compliances. Many models assume that the airway resistances for a ... -
A geometric approach to fault detection and isolation of multi-dimensional (n-D) systems
( Springer New York LLC , 2017 , Article)In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time multi-dimensional (n-D) systems for the first time in the literature. These systems represent as generalization of the ... -
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our ... -
A kernel-based approach to MIMO LPV state-space identification and application to a nonlinear process system
( Elsevier B.V. , 2015 , Conference)This paper first describes the development of a nonparametric identification method for linear parameter-varying (LPV) state-space models and then applies it to a nonlinear process system. The proposed method uses kernel-based ... -
A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)This brief presents a model reduction method for linear parameter-varying (LPV) systems using kernel-based principal component analysis (PCA). For state-space LPV models that are affine or rational in the scheduling variables ... -
A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)In light of the advancement of the technologies used in industrial control systems, securing their operation has become crucial, primarily since their activity is consistently associated with integral elements related to ... -
A Matlab/Simulink Model for Electric Vehicle with Four Independent In-Wheel Drive and Steering
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Four steering wheels in vehicles are one of the most promising innovations rising in the vehicular transportation industry. This spices up the request for vehicle models that can enable four-wheel steering to experiment ... -
A modular approach for a patient unit for extracorporeal membrane oxygenation simulator
( MDPI AG , 2021 , Article)Despite many advancements in extracorporeal membrane oxygenation (ECMO), the procedure is still correlated with a high risk of patient complications. Simulation-based training provides the opportunity for ECMO staff to ...
