Nonlinear gas turbine modeling using NARMAX structures

Chiras, Neophytos; Evans, C.; Rees, D.

doi:10.1109/19.948295

Cited by 81 publications

(39 citation statements)

References 11 publications

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“…The presented results confirmed the effectiveness of the proposed NN model to identify the gas turbine. Chiras et al [2] identified the parameters of a NARMAX model for an aircraft gas turbine. The simulation results showed the effectiveness of the estimated NARMAX model for small and large signal ranges in engine tests.…”

Section: Introductionmentioning

confidence: 99%

Parametric and nonparametric system identification of an experimental turbojet engine

Tavakolpour-Saleh

Nasib

Sepasyan

et al. 2015

Aerospace Science and Technology

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Section: Introductionmentioning

confidence: 99%

Parametric and nonparametric system identification of an experimental turbojet engine

Tavakolpour-Saleh

Nasib

Sepasyan

et al. 2015

Aerospace Science and Technology

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“…From the mathematical point of view, a model is an abstraction of a real system expressed by means of equations. Models can be found in Engineering (Chiras et al 2001;Deane and Hamill 1991), Biology (Murray 1993) among other areas of science.…”

Section: Introductionmentioning

confidence: 99%

Investigation of static curve information for multiobjective system identification

Santos¹

2009

JCIS

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System Identification is an area of knowledge that aims at finding models by means of observations. Dynamic input-output data are usually collected in order to select structure and estimate parameters of an specific mathematical representation. In this case, a mono-objective optimization is employed, as the Least Square Method, in order to maximize the prediction accuracy. More recently, multiobjective optimization has been used for system identification, taking in account auxiliary information, such as fixed points and static curve, which is usually used to increase the global validity. It is stated in literature that there is a tradeoff between global validity and prediction accuracy (Aguirre et al., IEEE Trans. Circuits Syst., 40,[1081][1082][1083][1084][1085] 2000). In this paper, it is shown that the tradeoff between objectives in a multiobjective system identification depends on the decision criterion. In fact, using the Euclidean norm of a bi-objective system identification in two real systems, as the amount of auxiliary information increases, the prediction accuracy behaves irregularly. This suggests an increment of importance for criterion decision in a MSI.

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“…NARMAX is a methodology for identifying and modelling nonlinear dynamic relationships among signals or variables from recorded data, and produces transparent models which clearly show how a response variable (system output signal) is linked to a number of candidate explanatory variables (system input signals) and their combined interactions. NARMAX modelling has been successful in revealing causal links at a range of scales within the engineering (e.g., Chiras et al 2001;Akanyeti et al 2008), biological (e.g., Song et al 2012), ecological (e.g., Marshall et al 2016), medical (e.g., Zhao et al 2012;Billings et al 2013;Sarrigiannis et al 2014), geophysical (e.g., Wei et al 2004a;Wei et al 2006;Wei et al 2007;Balikhin et al 2011), and environmental (Bigg et al 2014;Zhao et al 2016) sciences.…”

Section: Approach Of This Workmentioning

confidence: 99%

The Dominance of Food Supply in Changing Demographic Factors across Africa: A Model Using a Systems Identification Approach

Wei

Bigg

2017

Social Sciences

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Demographic indicators linked to general health have been strongly linked to economic development. However, change in such indicators is also associated with other factors such as climate, water availability, and diet. Here, we use a systems modelling approach, bringing together a range of environmental, economic, dietary, and health factors, to seek possible dominant causes of demographic change across Africa. A continent-wide, north-south transect of countries allows for the exploration of a range of climates, while a longitudinal transect from the Atlantic to the Red Sea provides a range of socio-economic factors within the similar climatic regime of Sahelian Africa. While change in national life expectancy and death rate since 1960 is modelled to be linked to a varying number and type of factors across the transects, the dominant factor in improving these demographic indicators across the continent is food availability. This has been strongly modulated by HIV infection rates in recent decades in some countries.

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Nonlinear gas turbine modeling using NARMAX structures

Cited by 81 publications

References 11 publications

Parametric and nonparametric system identification of an experimental turbojet engine

Parametric and nonparametric system identification of an experimental turbojet engine

Investigation of static curve information for multiobjective system identification

The Dominance of Food Supply in Changing Demographic Factors across Africa: A Model Using a Systems Identification Approach

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