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Matlab code for the nonlinearity measure L through nsAMDF (nonlinear average magnitude difference function)
This example shows how to perform nonlinear state estimation in Simulink® for a system with multiple sensors operating at different sample rates. The Extended Kalman Filter block in Control System Toolbox™ is used to estimate the position and velocity of an object using GPS and radar measurements.
1990s, nonlinear control is still largely a tough challenge. In this course, we will present basic results for the analysis of nonlinear systems, emphasizing the di erences to linear systems, and we will introduce the most important nonlinear feedback control tools with the goal of giving an overview of the main possibilities available.
analysis of nonlinear control loops consisting of a high-order linear part and an isolated static nonlinearity (Figure 2). There are two basic principles that the method takes advantage of: first, if the linear part of the system works as a low-pass filter, then (for calculation purposes) the nonlinearity can
Guay (1996) introduced a nonlinearity measure based on the evaluation of the in- duced local curvature of the process response assuming a process can be represented by a twice-differentiable process map.
Abstract - Sensors for the dynamic measurement of mechanical quantities or motion quantities are sometimes subject to a non-linear input-output characteristics. In the case of calibration this may result in deviations of classical calibration results using different methods or different ranges.
This chapter contains sections titled: Generation of Nonlinearity in MATLAB Fitting a Nonlinear Model to Measured Data Autocorrelation and Spectrum Esti
