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السجلات المعروضة 91 -- 100 من 187
Sensor fault detection and isolation using multiple robust filters for linear systems with time-varying parameter uncertainty and error variance constraints
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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 ...
Reinforcement Learning-based Control of Signalized Intersections having Platoons
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Smart transportation cities are based on intelligent systems and data sharing while human drivers generally have limited capabilities and imperfect observations in traffics. The perception of Connected and Autonomous Vehicle ...
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
(
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 ...
Simultaneous Actuator Fault Estimation and Fault-tolerant Tracking Control for Multi-agent Systems: A Sliding-mode Observer-based Approach
(
Taylor and Francis Ltd.
, 2020 , Article)
This study is concerned with the design of a distributed simultaneous fault estimation and fault-tolerant control scheme for linear multi-agent systems subject to actuator faults. For each agent, a sliding-mode observer-based ...
Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks
(
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 ...
Particle filtering for state and parameter estimation in gas turbine engine fault diagnostics
(
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 ...
Fault detection and isolation of Riesz spectral systems: A geometric approach
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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 ...
Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity
(
Elsevier B.V.
, 2021 , Article)
This paper investigates the development of an adaptive cooperative control scheme for the consensus of uncertain nonlinear multi-agent systems subjected to uncertain time-varying control direction, disturbances, and dead-zone ...
A novel particle filter parameter prediction scheme for failure prognosis
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Particle filters are well-known as powerful tools for accomplishing state and parameter estimation and their propagation prediction in nonlinear dynamical systems. Their ability to include system model parameters as part ...
Wavelet-based multiscale filtering of genomic data
(
IEEE Computer Society
, 2012 , Conference Paper)
Measured biological data are a rich source of information about the biological phenomena they represent. For example, time-series genomic or metabolic microarray data can be used to construct dynamic genetic regulatory ...