Development of system identification from traditional concepts to real-time soft computing based

Abstract

Advancement in computer and data acquisition technology gave the system identification a push forward, especially in the speed of the process and parallel calculation techniques. This article reviews the progress of system identification methods and techniques from traditional to modern methods and from offline to fast on-line analysis through previous years till these days. It takes into account part of artificial intelligence techniques (soft computing techniques), primarily artificial neural networks methods, for off-line system data analysis and real-time system identification, including the linear and non-linear issues. This study will provide a very concise survey for researchers about the development of system identification, its implementations, and techniques that have been used.