non-linear model
1Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …
2Non-standard model — See also Interpretation (logic) In model theory, a discipline within mathematical logic, a non standard model is a model of a theory that is not isomorphic to the intended model (or standard model). If the intended model is infinite and the… …
3Non-linear sigma model — In quantum field theory, a nonlinear σ model describes a scalar field Σ which takes on values in a nonlinear manifold called the target manifold T. The target manifold is equipped with a Riemannian metric g. Σ is a differentiable map from… …
4Linear model — In statistics the linear model is given by:Y = X eta + varepsilonwhere Y is an n times;1 column vector of random variables, X is an n times; p matrix of known (i.e. observable and non random) quantities, whose rows correspond to statistical… …
5Generalized linear model — In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. It relates the random distribution of the measured variable of the experiment (the distribution function ) to the systematic (non …
6General linear model — Not to be confused with generalized linear model. The general linear model (GLM) is a statistical linear model. It may be written as[1] where Y is a matrix with series of multivariate measurements, X is a matrix that might be a design matrix, B… …
7Model-based design — (MBD) is a mathematical and visual method of addressing problems associated with designing complex control,[1][2] signal processing[3] and communication systems. It is used in many motion control, industrial equipment, aerospace, and automotive… …
8Model based design — The dawn of the electrical age brought with it various novel, innovative and advanced control systems. It was as early as 1920 s when the two strands of technology, control theory and control system, came together to produce large scale… …
9Model Predictive Control — Die Modellprädiktive Regelung, zumeist Model Predictive Control (MPC) oder auch Receding Horizon Control (RHC) genannt, ist eine moderne Methode zur prädiktiven Regelung von komplexen Prozessen. Inhaltsverzeichnis 1 Funktionsweise 2… …
10Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is …
