Nonlinear system oor Sweeds
Nonlinear system
Vertalings in die woordeboek Engels - Sweeds
Icke-linjär
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
nonlinear system
en
a system whose performance cannot be described by equations of the first degree
Vertalings in die woordeboek Engels - Sweeds
Icke-linjär
en
system in which the change of the output is not proportional to the change of the input
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
voorbeelde
Advanced filtering
Voorbeelde moet herlaai word.
Computer software for simulating dynamic nonlinear systems
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He is also developing experimental and theoretical methods to investigate nonlinear dynamical systems by measuring and analyzing the intermodulation ( frequency mixing, frequency mixing ), this method was patented and was developed for use in atomic force microscopy .
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Solitons are the solutions of a widespread class of weakly nonlinear dispersive partial differential equations describing physical systems.
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Linear systems are quite well understood but building up a complete theory for nonlinear systems is more difficult.
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be able to derive mathematical models for and simulate simple nonlinear systems
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His research interests include the analysis of nonlinear systems, statistic models.
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· Fundamentals of nonlinear systems theory
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Two-tone characterization is a fingerprint method for the characterization of memory effects in dynamic nonlinear systems.
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However, in many situations, this is not a realistic assumption when a nonlinear system is approximated with a linear model.
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Indeed, most nonlinear systems are too complicated to be well-understood even when employing the most modern methods or computers.
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And could we even, thanks to major advancements in Earth systems science, identify the thresholds, the points where we may expect nonlinear change?
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Furthermore, it is shown that standard validation methods, designed for identification of linear systems, cannot always be used to validate an optimal linear approximation of a nonlinear system.
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The nonlinear problem is usually solved by iterative refinement; at each iteration the system is approximated by a linear one, and thus the core calculation is similar in both cases.
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In order to achieve a parameter efficient model structure, a Volterra model was used as a starting-point, which can describe any weak nonlinear system with fading memory, such as analog to digital converters.
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The aim of the course is to the learn to recognize nonlinear control problems, to master the most important analysis techniques for nonlinear systems, and the learn how to use practical tools for nonlinear control design.
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Fractals can also appear as strange attractors to nonlinear dynamic systems.
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Chaos Many nonlinear dynamical systems, for example most dynamical systems coming from applications, display a phenomenon called chaos.
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For example, using system identification and the prediction-error method, it is always possible to estimate a linear model without considering the fact that the input and output measurements in many cases come from a nonlinear system.
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The dynamics of each agent may be modeled by a nonlinear dynamical system with limited control and communication capabilities.
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"Chaos Theory is the qualitative study of unstable aperiodic behavior in deterministic nonlinear dynamical systems" (Kellert, 1993, p. 2).
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Prerequisites Multivariable and Nonlinear Control Systems 7.5hp, Applied Mechanics II 7.5hp and Algorithms and Data structures, 7.5 credits or equivalent.
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The Lotka–Volterra equations, also known as the predator–prey equations, are a pair of first-order nonlinear differential equations, frequently used to describe the dynamics of biological systems in which two species interact, one as a predator and the other as prey.
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A continuation in the form of a small project of for example one of the courses Applied Mathematics, Matrix Theory or Nonlinear Dynamical Systems.
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A core problem in Scientific Computing is the solution of nonlinear and linear systems.
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After finished course, the students will have knowledge in analysis of nonlinear dynamical systems using tools from control theory, such as linearization, Lyapunov methods, and describing functions.
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