Identification of time-varying fuzzy systems Academic Article

abstract

• This paper discusses the identification of time-varying fuzzy systems. A square-root type recursive algorithm with variable forgetting factor is presented to estimate the parameters of systems. Numerical examples are provided to illustrate the performance of the identification algorithm. An interesting discovery of this paper is that, for a linear system, a fuzzy model may have a frequency response close to that of a conventional model, say, a difference equation model, although the orders of two models may be different.

authors

• Langari, Gholamreza

published proceedings

• INTERNATIONAL JOURNAL OF GENERAL SYSTEMS

author list (cited authors)

• Wang, L., & Langari, R.

citation count

• 3

complete list of authors

• Wang, L||Langari, R

publication date

• January 1996

publisher

• Taylor & Francis  Publisher

published in

• International Journal of General Systems  Journal

keywords

• Fuzzy Models
• Identification Algorithms
• System Identification
• Time-varying Systems

Digital Object Identifier (DOI)

• 10.1080/03081079608945155

start page

• 203

end page

• 218

volume

• 25

issue

• 3

URL

• http://dx.doi.org/10.1080/03081079608945155