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Minimum rule-based parallel structure fuzzy controller


Karimadini, Mohammad and Marhaban, Mohammad Hamiruce and Mohd Noor, Samsul Bahari and Aris, Ishak and Davari, Atefeh (2005) Minimum rule-based parallel structure fuzzy controller. In: International Advanced Technology Congress: Conference on Intelligent Systems and Robotics, 6-8 Dec. 2005, Putrajaya, Malaysia. (pp. 1-9).


One of the most important issues in fuzzy logic controller design is the number of fuzzy subsets for inputs and outputs. The number of fuzzy terms should be big enough to achieve sufficient approximation and must be small enough to save the space of memory. There is a trade off between approximation and memory space (algorithm cycle time). This paper proposes a simple parallel structure of fuzzy controllers where simulation is performed on a real temperature model. It can be shown that the proposed parallel structure fuzzy controllers has the same performance and stability compared with the conventional fuzzy controller, with an advantage of significantly lower number of rules. This can save memory space and reduces cycle time which is an important element in practical implementation problems.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Keywords: Fuzzy logic controller
Depositing User: Erni Suraya Abdul Aziz
Date Deposited: 13 Jul 2015 07:10
Last Modified: 30 Mar 2018 08:31
URI: http://psasir.upm.edu.my/id/eprint/38993
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