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Nonlinear model

Parameterisation effect on the behaviour of a head-dependent hydro chain using a nonlinear model

Parameterisation effect on the behaviour of a head-dependent hydro chain using a nonlinear model

... the nonlinear model have a significant effect on the behaviour of reservoirs in a hydro chain, implying dif- ferent optimal storage trajectories to the reservoirs accordingly, not only with their relative ...

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A nonlinear model for the fluid coupled vibrations of  spent nuclear  racks

A nonlinear model for the fluid coupled vibrations of spent nuclear racks

... a nonlinear model for the fluid- coupled vibratory responses of nuclear fuel racks, ne- glecting three-dimensional flow effects and assum- ing small gaps between the fuel ...of nonlinear flow effects ...

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Simulating maize phenology as a function of air temperature with a linear and a nonlinear model

Simulating maize phenology as a function of air temperature with a linear and a nonlinear model

... a nonlinear model (Wang and Engel – WE) for simulating the phenology of maize (Zea mays ...this model and a linear one (thermal time), in order to predict developmental stages of a field-grown maize ...

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COMBINING LONG MEMORY AND NONLINEAR MODEL OUTPUTS FOR INFLATION FORECAST

COMBINING LONG MEMORY AND NONLINEAR MODEL OUTPUTS FOR INFLATION FORECAST

... memory model as well as nonlinear ...accuracy, model combination outperforms the single model although the error is not significantly ...single model will generate the best forecast for ...

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Int. braz j urol.  vol.34 número4

Int. braz j urol. vol.34 número4

... climate model of in- termediate severity warming (SRESa1b) indicate a climate-related increase of ...(nonlinear model) or increase steadily with temperature change (linear model) or some ...

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Fuzzy Backstepping Sliding Mode Control for Mismatched Uncertain System

Fuzzy Backstepping Sliding Mode Control for Mismatched Uncertain System

... fuzzy model is a nonlinear model to describe the dynamic characteristics of complex systems, and more effective way to describe nonlinear systems ...fuzzy model, Literature [10], [11], ...

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Nonlinear flow model for well production in an underground formation

Nonlinear flow model for well production in an underground formation

... researched nonlinear flow model from this article was used to make a well-test ...the nonlinear model with a constant pressure boundary are shown in ...flow model with a constant pres- ...

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Comparison Between Linear and Nonlinear Models of Mixed Pixels in Remote Sensing Satellite Images Based on Cierniewski Surface BRDF Model by Means of Monte Carlo Ray Tracing Simulation

Comparison Between Linear and Nonlinear Models of Mixed Pixels in Remote Sensing Satellite Images Based on Cierniewski Surface BRDF Model by Means of Monte Carlo Ray Tracing Simulation

... and nonlinear mixture surface models derived TOA radiances for the surface reflectance of ...shows nonlinear model based TOA radiance minus linear model based TOA ...simulation model is ...

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MULTIPLE REFLECTION EFFECTS IN NONLINEAR MIXTURE MODEL FOR  HYPERSPECTRAL IMAGE ANALYSIS

MULTIPLE REFLECTION EFFECTS IN NONLINEAR MIXTURE MODEL FOR HYPERSPECTRAL IMAGE ANALYSIS

... mixture model must be considered. Linear mixture model (LMM) has been widely used for remote sensing target classifications, because of its simplicity and yields reasonable results for smooth ...Bilinear ...

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On Stability and Bifurcation of Solutions of Nonlinear System of Differential Equations for AIDS Disease

On Stability and Bifurcation of Solutions of Nonlinear System of Differential Equations for AIDS Disease

... general nonlinear model of HIV/AIDS which has great interests from scientists and researchers on mathematics, biology, medicine and ...HIV/AIDS model with two forms of the incidence ...epidemic ...

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Statistical modeling of fatigue crack growth rate in Inconel alloy 600

Statistical modeling of fatigue crack growth rate in Inconel alloy 600

... are nonlinear regression models. A nonlinear model has at least one parameter (quantity to be estimated) that appears nonlinearly ...[14,15]. Nonlinear regression is an iter- ative procedure, ...

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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL

CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL

... Model predictive control (MPC) techniques have been recognized as efficient approaches to improve operating efficiency and profitability. It has become the accepted standard for complex control problems in the ...

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Robust H_Infinite Controller Design for Nonlinear Positive HIV/AIDS Infection Dynamic Model: A Fuzzy Approach

Robust H_Infinite Controller Design for Nonlinear Positive HIV/AIDS Infection Dynamic Model: A Fuzzy Approach

... the nonlinear version of classical Bounded Real Lemma; see [10], [11], ...the nonlinear H ∞ -control problem is in fact related to the solvability ...

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Pseudo Dynamic Model Reference Nonlinear Control of a Continuous Bioreactor with Input Multiplicities

Pseudo Dynamic Model Reference Nonlinear Control of a Continuous Bioreactor with Input Multiplicities

... The nonlinear chemical processes such as the continuous stirred tank reactors (CSTRs) in series with the exothermic reaction(A→B),flash separation unit, the nonlinear processes with recycle structures such ...

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Lat. Am. j. solids struct.  vol.7 número3

Lat. Am. j. solids struct. vol.7 número3

... • The mode shapes and Von Mises stress contours shown in Tables 13 to 15 reveal that almost regular half-waves are generated inside the stiffened plate components in longi- tudinal direction at the ultimate strength ...

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Parameters Identification of Nonlinear DC Motor Model Using Compound Evolution Algorithms

Parameters Identification of Nonlinear DC Motor Model Using Compound Evolution Algorithms

... of nonlinear system identification, and many researchers [5-15] introduce the identification of motors or power electronics systems based on ...addition, nonlinear system identification is a kind of quite ...

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Robust adaptive constrained backstepping flight controller design for re-entry reusable launch vehicle under input constraint

Robust adaptive constrained backstepping flight controller design for re-entry reusable launch vehicle under input constraint

... parametric model uncertainty and input ...combining nonlinear disturbance observer and RBFNN was designed for a near space vehicle, 21 where RBFNN was constructed as a compen- sator to avoid the saturation ...

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Modeling of Thermodynamic Properties based on Neurofuzzy System for Steam Power Plant

Modeling of Thermodynamic Properties based on Neurofuzzy System for Steam Power Plant

... We now compare the performance of our proposed neurofuzzy system to feedforward Neural Network Modeling including three types of learning algorithm methods. Their learning method are Batch Gradient Descent (TRAINGD), ...

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