Linear model
Non linear Model Predictive Control for cooling strings of superconducting magnets using superfluid helium
... Non-linear Model Predictive Control (NMPC) is an extension of the feedback implementation approach used on MPC to a general non-linear constrained optimal control problem ...non-linear ...
234
Jackknife technique and linear model estimators
... TÉCNICA DE JACKKNIFE Y ESTIMADORES EN UN MODELO LINEAL Jackknife Technique and Linear Model Estimators RESUMEN En este artículo estudiamos los efectos que tiene el utilizar esta técnica [r] ...
6
TítuloA generalized linear model for cardiovascular complications prediction in PD patients
... Generalized Linear Model, which achieved AUC values above 96% using a small subset of the original variables following a feature selection ...final model is based primarily in the traditional ...
6
TítuloThe linear model of an unknown dynamic process
... For a given model, linearization technique of substitution and binomial expansion can be quite tedious if the nonlinearities are numerous or involved. It may be easier to use a truncated Taylor’s series expansion ...
8
OTHER TOPICS IN THE SINGLE EQUATION LINEAR MODEL
... The previous discussion was for random sample, in time series you typically need to create some blocks to preserve the time dependence. -Moving block bootstrap (MBB)[r] ...
39
OTHER TOPICS IN THE SINGLE EQUATION LINEAR MODEL
... The previous discussion was for random sample, in time series you typically need to create some blocks to preserve the time dependence. -Moving block bootstrap (MBB)[r] ...
136
OTHER TOPICS IN THE SINGLE EQUATION LINEAR MODEL
... The previous discussion was for random sample, in time series you typically need to create some blocks to preserve the time dependence. -Moving block bootstrap (MBB)[r] ...
39
ESTIMATION IN THE LINEAR MODEL The analog principle
... However, the empirical version of the non-parametric regression function requires some degree of smoothing (nonparametric methods)... In particular, if the true conditional density funct[r] ...
34
Two-Wheeled Inverted Pendulum Robot NXT Lego Mindstorms: Mathematical Modelling and Real Robot Comparisons
... The aim of this paper is the development and comparison of two different models of the robot described above. This process is crucial since most of the controller design is based on mathematical models. Thus, if better ...
7
Data analysis based on SISSREM: Shiny Interactive, Supervised and Systematic report from REpeated Measures data
... A linear mixed model (LMM), also known as mixed-effect models, is a parametric linear model for clustered (e.g., students in classrooms), longitudinal, or RMs (i.e., subjects are measured ...
138
ECUACIONES AlOmétrICAS pArA EStImAr bIOmASA AérEA dE Prosopis laevigata (Humb. & bonpl. ex Willd.) m.C. Johnst.
... Global adjustment was efficient, if it is taken into account that the data represents populations from four states of the north-central part of mexico (Figure 1). However, the individuals from the evaluated sites show ...
16
Stability analysis and design of negative impedance converters: application to circuit and small antennas
... a linear model of the transistor or to extract it from the non-linear model or the S-parameters of the ...full linear modeling of each active device around its biasing point, which can ...
10
Comparison of Magneto-Rheological Damper Models-Edición Única
... Once the output functions had been obtained, Simulink was employed to create the non-linear fuzzy-based model as shown in Fig.. Non-linear fuzzy-based model validation. The electric c[r] ...
107
Spatial linear global instability analysis of the HIFiRE-5 elliptic cone model flow
... The spatial BiGlobal equations are formulated for compressible flows in Section II. The numerical so- lution procedure of the spatial BiGlobal equations and spatial discretization are presented in Section III. ...
14
Domain walls in a non linear S2 sigma model with homogeneous quartic polynomial potential
... are singular members of the K 2 (q,a,b,c) (x, γ)-domain wall families. The members of these families are characterized as a non-linear combination of the two previously mentioned basic domain walls, which are ...
23
Linear parameter-varying model to design control laws for an artificial pancreas
... LPV model from the insulin delivery input to the glucose deviation output is proposed here, and personalized by a system- oriented reinterpretation of the 1800 ...the model personalization using a priori ...
10
Characterization and Validation of a Hysteretic Dynamic Non-Linear Piezoceramic Actuator Model-Edición Única
... average model with exogenous inputs (NMAX) and a non-linear auto-regressive moving average model with exogenous inputs (NARMAX) to model static and dynamic ...the model parameters so as ...
108
Thermal corrections to π π scattering lengths in the linear sigma model
... identically. We normalized with the zero temperature val- ues of the scattering lengths, according to a two loop perturbation calculation [18]. It is interesting to remark that a 0 0 ðTÞ grows with temperature and the ...
5
Product differentiation and option games : closing the gap
... Hence, the question raised in the previous paragraph can be answered plausibly using the locational uncertainty model defined in Subsection 2.2.3. The lagging firms, having lost their edge towards the iPhone, ...
72
A research agenda on general to specific spatial model search
... on model selection. In writing rather speculatively about a model that nests many of those currently in favour for handling data derived from a single crosssection, my purpose has been to suggest avenues ...
20