Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy

U. Farid; B. Khan; Z. Ullah; S. M. Ali; C. A. Mehmood; S. Farid; R. Sajjad; I. Sami; A. Shah

doi:10.1109/ECE.2017.8248831

Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy

U. Farid
, B. Khan
, Z. Ullah
, S. M. Ali
, C. A. Mehmood
, S. Farid
, R. Sajjad
, I. Sami
, A. Shah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The foremost objective of operative control for the unpredictable system is the design of proper and appropriate control system. The handling of insufficient information by using modern methods is of great importance. Therefore, this paper proposes the design of Type-2 fuzzy sets to deal with uncertainties in the unpredictable system in better and appropriate way as Type-2 fuzzy sets possess the capability of providing extra parameters and degree of freedom. Moreover, the construction of Adaptive Neuro-Fuzzy Type-2 (ANFT2) having a basic fuzzy set of rules is demonstrated. Gradient descent methodology is the basic method for parameter updating rules. The proposed scheme is experienced for both control and identification purpose through a commonly used dynamic system. It is observed that the projected ANFT2 structure gives better outcomes as compared to other control and identification techniques.

Original language	English
Title of host publication	ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	68-73
Number of pages	6
ISBN (Electronic)	9781538636060
DOIs	https://doi.org/10.1109/ECE.2017.8248831
State	Published - 28 Jun 2017
Externally published	Yes
Event	2017 International Conference on Energy Conservation and Efficiency, ICECE 2017 - Lahore, Pakistan Duration: 22 Nov 2017 → 23 Nov 2017

Publication series

Name	ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings
Volume	2018-January

Conference

Conference	2017 International Conference on Energy Conservation and Efficiency, ICECE 2017
Country/Territory	Pakistan
City	Lahore
Period	22/11/17 → 23/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

ANFT2
Gaussian membership functions
Type-1 fuzzy sets
Type-2 fuzzy sets
Uncertainty

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/ECE.2017.8248831

Cite this

Farid, U., Khan, B., Ullah, Z., Ali, S. M., Mehmood, C. A., Farid, S., Sajjad, R., Sami, I., & Shah, A. (2017). Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy. In ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings (pp. 68-73). (ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECE.2017.8248831

Farid, U. ; Khan, B. ; Ullah, Z. et al. / Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy. ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 68-73 (ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings).

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title = "Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy",

abstract = "The foremost objective of operative control for the unpredictable system is the design of proper and appropriate control system. The handling of insufficient information by using modern methods is of great importance. Therefore, this paper proposes the design of Type-2 fuzzy sets to deal with uncertainties in the unpredictable system in better and appropriate way as Type-2 fuzzy sets possess the capability of providing extra parameters and degree of freedom. Moreover, the construction of Adaptive Neuro-Fuzzy Type-2 (ANFT2) having a basic fuzzy set of rules is demonstrated. Gradient descent methodology is the basic method for parameter updating rules. The proposed scheme is experienced for both control and identification purpose through a commonly used dynamic system. It is observed that the projected ANFT2 structure gives better outcomes as compared to other control and identification techniques.",

keywords = "ANFT2, Gaussian membership functions, Type-1 fuzzy sets, Type-2 fuzzy sets, Uncertainty",

author = "U. Farid and B. Khan and Z. Ullah and Ali, \{S. M.\} and Mehmood, \{C. A.\} and S. Farid and R. Sajjad and I. Sami and A. Shah",

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year = "2017",

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doi = "10.1109/ECE.2017.8248831",

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Farid, U, Khan, B, Ullah, Z, Ali, SM, Mehmood, CA, Farid, S, Sajjad, R, Sami, I & Shah, A 2017, Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy. in ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings. ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 68-73, 2017 International Conference on Energy Conservation and Efficiency, ICECE 2017, Lahore, Pakistan, 22/11/17. https://doi.org/10.1109/ECE.2017.8248831

Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy. / Farid, U.; Khan, B.; Ullah, Z. et al.
ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 68-73 (ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Khan, B.

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AU - Farid, S.

AU - Sajjad, R.

AU - Sami, I.

AU - Shah, A.

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Farid U, Khan B, Ullah Z, Ali SM, Mehmood CA, Farid S et al. Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy. In ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 68-73. (ICECE 2017 - 2017 International Conference on Energy Conservation and Efficiency, Proceedings). doi: 10.1109/ECE.2017.8248831

Control and identification of dynamic plants using adaptive neuro-fuzzy type-2 strategy

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this