Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

This is a preview. Log in through your library . Abstract A geometric framework for constructing optimal Bayesian designs and maximin designs for non-linear models with a single unknown parameter and ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Highly reduced order models with nonlinear contact – extremely efficient computation. Modeled as linear components interconnected with highly reduced-order components. 1-linear reduced model, ...

We study the convergence to equilibrium of a class of nonlinear recombination models. In analogy with Boltzmann's H-theorem from kinetic theory, and in contrast with previous analysis of these models, ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...