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السجلات المعروضة 91 -- 100 من 111
Parameter estimation of biological phenomena: An unscented kalman filter approach
(
IEEE
, 2013 , Article)
Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models ...
Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems
(
2013 IEEE International Conference on Prognostics and Health Management, PHM 2013
, 2013 , Conference Paper)
Industrial processes rely heavily on information provided by sensors. Reliability of sensor data is vital to assure an acceptable performance of these complex and nonlinear processes. In this paper, the analytical redundancy ...
Sensor fault detection and isolation of an industrial gas turbine using partial kernel PCA
(
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015
, 2015 , Conference Paper)
In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation of an aeroderivative industrial gas turbine. Principal component analysis (PCA) is an effective tool ...
Linear parameter-varying control of a copolymerization reactor
(
Elsevier B.V.
, 2015 , Conference Paper)
This paper demonstrates the application of the linear parameter-varying (LPV) framework to control a copolymerization reactor. An LPV model representation is first developed for a nonlinear model of the process. The LPV ...
Partial synchronization of biological neural networks and the anesthetic cascade
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
With the advances in biochemistry, molecular biology, and neurochemistry there has been impressive progress in understanding the molecular properties of anesthetic agents. However, there has been little focus on how the ...
A Bayesian approach for estimation of linear-regression LPV models
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
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 ...
Event-Triggered fault detection, isolation and control design of linear systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, the problem of event-Triggered integrated fault detection, isolation and control (E-IFDIC) for discrete-Time linear systems is considered. Using a filter to represent, characterize, and specify the E-IFDIC ...
Simultaneous fault detection and control design for an autonomous unmanned underwater vehicle
(
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. ...
A sensor fault detection and isolation strategy by using a Dendritic Cell Algorithm
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, an online sensor fault detection and isolation (FDI) scheme is proposed based on an emerging Artificial Immune System (AIS) algorithm, namely Dendritic Cell Algorithm (DCA). Our proposed methodology is ...
Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
(
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 ...