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

Ayad M. Kwad | Zendy; Dirman Hanafi | Zendy; Rosli Omar | Zendy; Hasimah Abdul Rahman | Zendy

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

Author(s) -

Ayad M. Kwad,

Dirman Hanafi,

Rosli Omar,

Hasimah Abdul Rahman

Publication year - 2020

Publication title -

iop conference series materials science and engineering

Language(s) - English

Resource type - Journals

eISSN - 1757-899X

pISSN - 1757-8981

DOI - 10.1088/1757-899x/767/1/012050

Subject(s) - identification (biology) , computer science , implementation , soft computing , process (computing) , system identification , artificial neural network , data acquisition , nonlinear system identification , artificial intelligence , machine learning , data mining , software engineering , operating system , botany , biology , measure (data warehouse)

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.

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