Browsing by Author "Khorasani, K."
Now showing items 21-40 of 42
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Fault detection and isolation of Riesz spectral systems: A geometric approach
Baniamerian, A.; Meskin, Nader; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)The Riesz spectral (RS) systems represent a large class of parabolic and hyperbolic partial differential equations (PDE) in infinite-dimensional systems. In this work, a fault detection and isolation (FDI) methodology for ... -
Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
Alizadeh, E.; Meskin, Nader; Benammar, M.; Khorasani, K. ( 2013 7th IEEE GCC Conference and Exhibition, GCC 2013 , 2013 , Conference Paper)This paper presents an immune-inspired approach for detecting and isolating faults in a wind turbine system. A negative selection algorithm (NSA) is proposed which is derived from a mechanism in vertebrate immune systems ... -
Fault detection and isolation of two-dimensional (2D) systems
Baniamerian, A.; Meskin, Nader; Khorasani, K. ( Elsevier B.V. , 2017 , Article)In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time two-dimensional (2D) systems that are represented by the Fornasini?Marchesini model II (FMII). This is accomplished by generalizing ... -
Fault detection and isolation: Multi-vehicle unmanned systems
Meskin, Nader; Khorasani, K. ( Springer New York , 2011 , Book)Fault Detection and Isolation: Multi-Vehicle Unmanned Systems deals with the design and development of fault detection and isolation algorithms for unmanned vehicles such as spacecraft, aerial drones and other related ... -
Health monitoring and degradation prognostics in gas turbine engines using dynamic neural networks
Vatani, A.; Khorasani, K.; Meskin, Nader ( American Society of Mechanical Engineers (ASME) , 2015 , Conference Paper)In this paper two artificially intelligent methodologies are proposed and developed for degradation prognosis and health monitoring of gas turbine engines. Our objective is to predict the degradation trends by studying ... -
Hybrid fault detection and isolation strategy for non-linear systems in the presence of large environmental disturbances
Meskin, N.; Khorasani, K.; Rabbath, C.A. ( Institution of Engineering and Technology , 2010 , Article)The problem of designing and developing a hybrid fault detection and isolation (FDI) scheme for a non-linear system that is subject to large environmental disturbances is investigated. In the proposed FDI scheme, a hybrid ... -
Integrated design of fault detection, isolation, and control for continuous-time Markovian jump systems
Davoodi, M.; Meskin, N.; Khorasani, K. ( John Wiley and Sons Ltd , 2017 , Article)In this paper, the problem of integrated fault detection, isolation, and control design of continuous-time Markovian jump linear systems with uncertain transition probabilities is introduced and addressed for the first ... -
Integrated fault diagnosis and control design of linear complex systems
Davoodi, M.; Meskin, Nader; Khorasani, K. ( Institution of Engineering and Technology , 2018 , Book)As control systems become more complex and are expected to perform tasks in unknown and extreme environments, they may be subject to various types of faults in their sensors, actuators or other components. It is crucial ... -
Mitigation and resiliency of multi-agent systems subject to malicious cyber attacks on communication links
Taheri, M.; Khorasani, K.; Shames, I.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)This paper aims at investigating a novel type of cyber attack that is injected to multi-agent systems (MAS) having an underlying directed graph. The cyber attack, which is designated as the controllability attack, is ... -
Monitoring and detection of malicious adversarial zero dynamics attacks in cyber-physical systems
Baniamerian, A.; Khorasani, K.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)This paper is mainly concerned with monitoring and detection of zero dynamics (ZD) cyber attacks that are injected by malicious hackers and adversaries to safety critical cyber-physical systems (CPS). We consider a CPS ... -
Multiple-model based sensor fault diagnosis using hybrid kalman filter approach for nonlinear gas turbine engines
Pourbabaee, B.; Meskin, Nader; Khorasani, K. ( 2013 1st American Control Conference, ACC 2013 , 2013 , Conference Paper)In this paper, an efficient sensor fault detection and isolation (FDI) strategy is proposed based on multiple-model (MM) approach. The scheme is composed of hybrid kalman filters (HKF) by integrating a nonlinear gas turbine ... -
Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks
Sadough Vanini, Z.N.; Meskin, Nader; Khorasani, K. ( American Society of Mechanical Engineers , 2014 , Article)In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using an intelligent-based methodology. The proposed fault detection and isolation (FDI) scheme is based on the multiple model ... -
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
Naderi, E.; Meskin, Nader; Khorasani, K. ( ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, GT2011 , 2011 , Conference Paper)In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model (MM) approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which ... -
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
Naderi, E.; Meskin, Nader; Khorasani, K. ( ASME , 2012 , Article)In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which enables ... -
Particle filtering for state and parameter estimation in gas turbine engine fault diagnostics
Daroogheh, N.; Meskin, Nader; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)In this paper, a novel method for a time-varying parameter estimation technique using particle filters is proposed based on the concept of Recursive Prediction Error (RPE). According to the proposed method, a parallel ... -
Performance-based prognosis scheme for industrial gas turbines
Tsoutsanis, E.; Meskin, Nader; Benammar, M.; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, we present a novel method for performance-based prognostics of industrial gas turbines. The concept of performance adaptation is implemented through a dynamic engine model that is developed in Matlab/Simulink ... -
Robust cooperative control reconfiguration/recovery in multi-agent systems
Gallehdari, Z.; Meskin, Nader; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a reconfigurable control protocol for a linear multi-agent system seeking consensus in presence of actuator faults and saturations and environmental disturbances is investigated. Two controllers, namely the ... -
Sensor fault detection and isolation using multiple robust filters for linear systems with time-varying parameter uncertainty and error variance constraints
Pourbabaee, B.; Meskin, Nader; Khorasani, K. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a robust sensor fault detection and isolation (FDI) strategy is proposed by means of the multiple model (MM)-based scheme. The proposed approach is composed of robust Kalman filters (RKF) with error variance ... -
Simultaneous fault detection and control design for an autonomous unmanned underwater vehicle
Davoodi, M.R.; Meskin, Nader; Khorasani, K. ( 2013 7th IEEE GCC Conference and Exhibition, GCC 2013 , 2013 , Conference Paper)In this paper, the problem of simultaneous fault detection and control (SFDC) for an autonomous unmanned underwater vehicle (AUV) is considered. An H∞ formulation of the SFDC problem using a dynamic observer is developed. ... -
Towards Privacy Preserving Consensus Control in Multi-Agent Cyber-Physical Systems Subject to Cyber Attacks
Taheri, M.; Khorasani, K.; Shames, I.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Multi-agent systems (MAS) require sharing their information with their neighboring agents to reach a consensus in a distributed manner. In this paper, a transformation-based consensus control methodology is developed and ...