Identification of nonlinear systems using NARMAX model

Identification of robotic systems with hysteresis using Nonlinear AutoRegressive eXogenous input models

“…[20][21][22][23] The NARX model is an extension of the linear ARX model. The AR model is used when current output is dependent only on the previous outputs, and the ARX model is used when there is exogenous input given to the AR model, as shown in Figure 1.…”

Fault detection in the distillation column process using Kullback Leibler divergence

“…The parameter estimation of the NARMAX model has received much attention and many algorithms have been developed [26,27]. In this work, the recursive algorithm such as output error with extended prediction model (OEEPM) method is used mainly for its simplicity and superior performance [28].…”

Yapay Ari Koloni̇si̇ Algori̇tmasi İle Opti̇mi̇ze Edi̇len Hammerstein Model Kullanarak Si̇stemleri̇n Ki̇mli̇klendi̇ri̇lmesi̇

“…However, many systems in real life have nonlinear behaviours. Linear methods can be inadequate in identification of such systems and nonlinear methods are used [6][7][8][9][10][11][12][13]. In nonlinear system identification, the input-output relation of the system is provided through nonlinear mathematical assertions as differential equations, exponential and logarithmic functions [14][15][16][17][18].…”