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Ocean Systems Engineering Volume 9, Number 2, June 2019 , pages 179-190 DOI: https://doi.org/10.12989/ose.2019.9.2.179 |
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An intelligent fuzzy theory for ocean structure system analysis |
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Tim Chen1, C.Y.J. Cheng, Sharaban Tahura Nisa and Jonathan Olivera
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| Abstract | ||
| This paper deals with the problem of the global stabilization for a class of ocean structure systems. It is well known that, in general, the global asymptotic stability of the ocean structure subsystems does not imply the global asymptotic stability of the composite closed-loop system. The classical fuzzy inference methods cannot work to their full potential in such circumstances because given knowledge does not cover the entire problem domain. However, requirements of fuzzy systems may change over time and therefore, the use of a static rule base may affect the effectiveness of fuzzy rule interpolation due to the absence of the most concurrent (dynamic) rules. Designing a dynamic rule base yet needs additional information. In this paper, we demonstrate this proposed methodology is a flexible and general approach, with no theoretical restriction over the employment of any particular interpolation in performing interpolation nor in the computational mechanisms to implement fitness evaluation and rule promotion. | ||
| Key Words | ||
| intelligent control function; fuzzy rule interpolation (FRI), interpolated rules | ||
| Address | ||
| Tim Chen: Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam C.Y.J. Cheng: Faculty of Engineering, King Abdulaziz University, Abdullah Sulayman, Jeddah 21589 Tahura Nisa: ECE Department, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, U.S.A. Jonathan Olivera:School of Computer Science University of Nottingham Jubilee Campus, Room: C32 Wollaton Road Nottingham NG8 1BB, U.K. | ||
