A NEW HIGH-ORDER TAKAGI-SUGENO FUZZY MODEL BASED ON DEFORMED LINEAR MODELS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KALHOR AHMAD; ARAABI BABAK N.; LUCAS CARO

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: AMIRKABIR INTERNATIONAL JOURNAL OF MODELING, IDENTIFICATION, SIMULATION AND CONTROL Year:2010 | Volume:42 | Issue:2 Page(s): 43-54

Download Full-Text

View:

318

Download:

197

Cites:

Information Journal Paper

Title

A NEW HIGH-ORDER TAKAGI-SUGENO FUZZY MODEL BASED ON DEFORMED LINEAR MODELS

Author(s)

KALHOR AHMAD | ARAABI BABAK N. | LUCAS CARO | Issue Writer Certificate

Keywords

TAKAGI SUGENO FUZZY MODEL

IDENTIFICATION

DEFORMED LINEAR MODELS

SIGMOID-BASED MEMBERSHIP FUNCTION

PREDICTION AND APPROXIMATION

Abstract

Amongst possible choices for identifying complicated processes for prediction, simulation, and approximation applications, high-order Takagi-Sugeno (TS) fuzzy models are fitting tools. Although they can construct models with rather high complexity, they are not as interpretable as first-order TS fuzzy models. In this paper, we first propose to use DEFORMED LINEAR MODELS (DLMs) in consequence parts of a TS fuzzy model, which provides both complexity and interpretability. We then prove that in order to minimize considered error indices, linear and nonlinear parts of DLMs can be optimized independently. A localization of DLMs in input-space of the TS fuzzy model is done using an appropriate SIGMOID-BASED MEMBERSHIP FUNCTION, which can represent a fuzzy subspace with enough smoothness and flat top. An incremental algorithm is also proposed to identify the suggested fuzzy model. Then, through an illustrative example, the formation of DLMs to approximate a nonlinear function is demonstrated. The applicability and effectiveness of the introduced fuzzy modeling approach is examined in three case studies: prediction of a chaotic time series, IDENTIFICATION of a steam generator model, and approximation of a nonlinear function for a sun sensor. The obtained results demonstrate the higher accuracy and better generalization of our modeling approach as compared with those of some other well-known state-of-the-art approaches.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

KALHOR, AHMAD, ARAABI, BABAK N., & LUCAS, CARO. (2010). A NEW HIGH-ORDER TAKAGI-SUGENO FUZZY MODEL BASED ON DEFORMED LINEAR MODELS. AMIRKABIR INTERNATIONAL JOURNAL OF MODELING, IDENTIFICATION, SIMULATION AND CONTROL, 42(2), 43-54. SID. https://sid.ir/paper/319984/en

Vancouver: Copy

KALHOR AHMAD, ARAABI BABAK N., LUCAS CARO. A NEW HIGH-ORDER TAKAGI-SUGENO FUZZY MODEL BASED ON DEFORMED LINEAR MODELS. AMIRKABIR INTERNATIONAL JOURNAL OF MODELING, IDENTIFICATION, SIMULATION AND CONTROL[Internet]. 2010;42(2):43-54. Available from: https://sid.ir/paper/319984/en

IEEE: Copy

AHMAD KALHOR, BABAK N. ARAABI, and CARO LUCAS, “A NEW HIGH-ORDER TAKAGI-SUGENO FUZZY MODEL BASED ON DEFORMED LINEAR MODELS,” AMIRKABIR INTERNATIONAL JOURNAL OF MODELING, IDENTIFICATION, SIMULATION AND CONTROL, vol. 42, no. 2, pp. 43–54, 2010, [Online]. Available: https://sid.ir/paper/319984/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops