Home | Nonlinear Dynamics - Springer The journal covers nonlinear dynamics in mechanical, structural, civil, aeronautical, ocean, electrical, control, and hybrid systems Review articles, feature articles and original contributions based on analytical, computational, experimental methods, and data-driven approaches are welcome
Home | Journal of Nonlinear Science - Springer The mission of the Journal of Nonlinear Science is to publish papers that augment the fundamental ways we describe, model, and predict nonlinear phenomena It features papers that make an original contribution to at least one technical area and illuminate issues beyond that area's boundaries
Introduction to Nonlinear Finite Element Analysis This book introduces the key concepts of nonlinear finite element analysis procedures The book explains the fundamental theories of the field and provides instructions on how to apply the concepts to solving practical engineering problems
Nonlinear Optics: Principles and Applications | SpringerLink This book reflects the latest advances in nonlinear optics Besides the simple, strict mathematical deduction, it also discusses the experimental verification and possible future applications, such as the all-optical switches It consistently uses the practical unit system throughout
Nonlinear Effect | SpringerLink That is to say, in a nonlinear system, the input is not proportional to the output Statistically speaking, an effect between a predictor and a dependent variable is called nonlinear if it changes in size or sign depending on the predictor’s own values or depending on the values of other predictors
Nonlinear Regression Modelling: A Primer with Applications . . . - Springer The article is structured as follows To provide important context, Sect 2 introduces simple motivating nonlinear model examples which highlight both nonlinear modelling in practice and underscores key differences with linear models
Nonlinear Control Systems | SpringerLink Linear algebra and linear geometric methods were replaced in nonlinear systems by the methods of differential geometry, whose usefulness in the study of controllability, observability, and minimality of nonlinear systems had been demonstrated in the early 70s
Introduction to Nonlinear Systems Modelling and Control Nonlinearities arise in physical systems in many ways The differential equations describing the behaviour of systems, such as mechanical, electrical, thermal, fluidic or biological systems, are often nonlinear Thermal systems may, for example, have nonlinear radiation and convective losses