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Transient gas turbine performance diagnostics through nonlinear adaptation of compressor and turbine maps
(
American Society of Mechanical Engineers (ASME)
, 2015 , Article)
Gas turbines are faced with new challenges of increasing flexibility in their operation while reducing their life cycle costs, leading to new research priorities and challenges. One of these challenges involves the ...
An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a nonparametric identification method for state-space linear parameter-varying (LPV) models using a modified support vector machine (SVM) approach. While most LPV identification schemes in the state-space ...
Fuzzy intervention in biological phenomena
(
IEEE
, 2012 , Article)
An important objective of modeling biological phenomena is to develop therapeutic intervention strategies to move an undesirable state of a diseased network toward a more desirable one. Such transitions can be achieved by ...
Multiscale denoising of biological data: A comparative analysis
(
IEEE
, 2012 , Article)
Abstract: Measured microarray genomic and metabolic data are a rich source of information about the biological systems they represent. For example, time-series biological data can be used to construct dynamic genetic ...
Output-feedback model predictive control of biological phenomena modeled by S-systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2012 , Conference Paper)
Recent years have witnessed extensive research activity in modeling biological phenomena as well as in developing intervention strategies for them. S-systems, which offer a good compromise between accuracy and mathematical ...
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
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 ...
Robust cooperative control reconfiguration/recovery in multi-agent systems
(
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 ...
Dynamic performance simulation of an aeroderivative gas turbine using the matlab simulink environment
(
American Society of Mechanical Engineers (ASME)
, 2013 , Conference Paper)
In fossil fuel applications, such as air transportation and power generation systems, gas turbine is the prime mover which governs the aircraft's propulsive and the plant's thermal efficiency, respectively. Therefore, an ...
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 ...