AUTHOR(S):

Adnan M. Al-Smadi, Othman M. Al-Smadi, Mais W. Marji

TITLE

Dominant-Dynamics-Based Reduced Order Modeling Using Genetic Algorithm

KEYWORDS

Model Order Reduction, Genetic Algorithm, Eigenvalues, Transfer Function

ABSTRACT

Model Order Reduction (MOR) plays a very essential role in reducing the complexity of the models, such as communication systems, transmission lines and most physical systems that impose major difficulties in analysis, simulation and control designs. MOR was developed in control theory areas that study the performance of dynamical systems in order to reduce their complexity. The objective of this paper is to obtain reduced model that is approximated to the original complex high order model with optimal solution and less complexity and with maintaining the same behavior of the original model. This is done using Genetic Algorithm (GA). MATLAB software will be utilized for simulations and testing the achieved results.

Cite this paper

Adnan M. Al-Smadi, Othman M. Al-Smadi, Mais W. Marji. (2016) Dominant-Dynamics-Based Reduced Order Modeling Using Genetic Algorithm. International Journal of Control Systems and Robotics, 1, 96-100