Partial least squares technique has been in use for identification of the dynamics & control for multivariable distillation process. Discrete input-output time series data ) ( Y X were generated by exciting non-linear process models with pseudo random binary signals. Signal to noise ratio was set to 10 by adding white noise to the data. The ARX models as well FIR models in combination with leas...

A least-squares method is used to determine the fundamental parameters of a simple mathematical model for the mechanical subsystem of the NEES-UCSD large high performance outdoor shaking table. The parameters identified include the effective horizontal mass, the effective horizontal stiffness, and the coefficient of the classical Coulomb friction and viscous damping elements representing the va...

This study provides a recursive parametric identification scheme for liquid-saturated steam heat exchanger system. The uses block-structured Wiener and Hammerstein models as model structure least squares estimation the parameter method. estimated block-oriented higher accuracy of than linear provided in literature. From simulation results, it is observed that can provide 88% goodness-of-FIT, wh...

Ionic polymer metal composite is a class of electro-active polymers which are very attractive smart actuators due to its large bending deflection, high mechanical flexibility, low excitation voltage, low density, and ease of fabrication. These properties make IPMC a proper candidate for many applications in various fields such as robotics, aerospace, biomedicine, etc. Although the actuation beh...

Aiming at the problem that changes of nonlinear dynamic resistance of stator affect the performance of speed sensorless vector control system, a hybrid computing intelligence approach is used in the identification of stator resistance of motorized spindle. The partial least squares (PLS) regression is combined with neural network to solve the problem of few samples and multi-correlation of vari...

This paper focuses on the identification problem ofWiener nonlinear systems.The application of the key-term separation principle provides a simplified form of the estimated parameter model. To solve the identification problem of Wiener nonlinear systems with the unmeasurable variables in the information vector, the least-squares-based iterative algorithm is presented by replacing the unmeasurab...