Design C-MEX model files that involve scalar, vector as well as matrix parameters. As a modeling basis, we will use a somewhat idealized industrial robot, where the left-hand sides of the
Use custom regressors in nonlinear ARX (IDNLARX) models, including single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems.
Identify the parameters of a complex yet artificial nonlinear discrete-time system with one input and one output. The system was originally proposed and discussed by Narendra and Li in the
Grey-box modeling of the dynamics of an industrial robot arm. The robot arm is described by a nonlinear three-mass flexible model according to Figure 1. This model is idealized in the sense
Identify single-input-single-output (SISO) nonlinear black box models using measured input-output data. The example uses measured data from a two-tank system to explore various model
Include and simulate an IDNLGREY model in Simulink®. We use a chemical reaction system as a modeling basis. The first modeling and identification part of the example can be run without
Nonlinear grey-box modeling of vehicle dynamics. Many new vehicle features (like Electronic Stability Programs (ESP), indirect Tire Pressure Monitoring Systems (TPMS), road-tire
Nonlinear black-box modeling of the dynamic behavior of a magneto-rheological fluid damper. It shows how to create Nonlinear ARX and Hammerstein-Wiener models of the damper using
Estimate parameters of a nonlinear grey box model using multiple experiment data. A system exhibiting dry friction between two solid bodies will be used as the basis for the discussion. In
Provide optional input arguments to IDNLGREY models. The discussion concentrates on how to do this for C-MEX types of model files, yet to some minor extent we will also address the most
How the estimation algorithm choices may impact the results for a nonlinear grey box model estimation. We use data produced by a nonlinear pendulum system, which is schematically shown in
Estimate multi-input multi-output (MIMO) nonlinear black box models from data. Two types of nonlinear black box models are offered in the toolbox - Nonlinear ARX and Hammerstein-Wiener
Perform IDNLGREY modeling based on C MEX model files. It uses a simple system where nonlinear state space modeling really pays off.
Construct, estimate and analyze nonlinear grey-box models.
Estimate Hammerstein-Wiener models using linear OE models.
Use nlarx to estimate a nonlinear ARX model for measured input/output data.
Write ODE files for nonlinear grey-box models as MATLAB and C MEX files.
Estimate and compare multiple Hammerstein-Wiener models using measured input-output data.
How the software evaluates the simulated output by first computing the output of the input and output nonlinearity estimators.
Use the Hammerstein-Wiener model structure to improve a previously estimated linear model.
The grey-box modeling of a large and complex nonlinear system. The purpose is to show the ability to use the IDNLGREY model to estimate a large number of parameters (16) in a system having many
Estimate nonlinear ARX models by using linear ARX models.
Grey-box modeling of a static single-input, single-output system using a MATLAB function as the ODE file.
Create nonlinear grey box time series models. Time series models are models not using any measured inputs. Three idealized ecological systems are studied where two species either: