AUTOMATIC TAKAGI-SUGENO FUZZY CONTROLLER DESIGN WITH COMBINED DISCRETE AND CONTINUOUS REINFORCEMENT LEARNING ALGORITHM

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.

GHARAH VEYSI A.A.; KASHAKI M.

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

Journal Paper

Paper Information

Journal: Journal of Control Year:2008 | Volume:2 | Issue:1 Page(s): 40-48

Download Full-Text

Persian Verion

View:

839

Download:

Cites:

Information Journal Paper

Title

AUTOMATIC TAKAGI-SUGENO FUZZY CONTROLLER DESIGN WITH COMBINED DISCRETE AND CONTINUOUS REINFORCEMENT LEARNING ALGORITHM

Author(s)

GHARAH VEYSI A.A. | KASHAKI M. | Issue Writer Certificate

Keywords

CONTINUOUS ATION RINFORCEMENT LAMING ATOMATAQ3

CONTINUOUS ACTION REINFORCEMENT LEARNING AUTOMATAQ3

TAKAGI-SUGENO FUZZY CONTROLQ3

Abstract

In this paper, an optimal TAKAGI-SUGENO FUZZY CONTROL is designed with a novel method called combined discrete and continuous action reinforcement learning algorithm (CDCARLA). The proposed method is implemented for a nonlinear system that is Cart-Pole system. Simulation results show that the proposed method has significant performance. The advantage of CDCARLA is that it does not need system dynamics as well as any other information of power system. It can be said that, this method will consider nonlinear features of power system. It is shown that CDCARLA method can be considered as one of the automatic design technique for designing of controller parameters.

Cites

No record.

References

No record.

Cite

APA: Copy

GHARAH VEYSI, A.A., & KASHAKI, M.. (2008). AUTOMATIC TAKAGI-SUGENO FUZZY CONTROLLER DESIGN WITH COMBINED DISCRETE AND CONTINUOUS REINFORCEMENT LEARNING ALGORITHM. JOURNAL OF CONTROL, 2(1), 40-48. SID. https://sid.ir/paper/120930/en

Vancouver: Copy

GHARAH VEYSI A.A., KASHAKI M.. AUTOMATIC TAKAGI-SUGENO FUZZY CONTROLLER DESIGN WITH COMBINED DISCRETE AND CONTINUOUS REINFORCEMENT LEARNING ALGORITHM. JOURNAL OF CONTROL[Internet]. 2008;2(1):40-48. Available from: https://sid.ir/paper/120930/en

IEEE: Copy

A.A. GHARAH VEYSI, and M. KASHAKI, “AUTOMATIC TAKAGI-SUGENO FUZZY CONTROLLER DESIGN WITH COMBINED DISCRETE AND CONTINUOUS REINFORCEMENT LEARNING ALGORITHM,” JOURNAL OF CONTROL, vol. 2, no. 1, pp. 40–48, 2008, [Online]. Available: https://sid.ir/paper/120930/en

Related Journal Papers