Hagras, Hani (2008) Developing a type-2 FLC through embedded type-1 FLCs. In: 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE), 2008-06-01 - 2008-06-06.
Hagras, Hani (2008) Developing a type-2 FLC through embedded type-1 FLCs. In: 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE), 2008-06-01 - 2008-06-06.
Hagras, Hani (2008) Developing a type-2 FLC through embedded type-1 FLCs. In: 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE), 2008-06-01 - 2008-06-06.
Abstract
Type-1 Fuzzy Logic Controllers (FLCs) have been widely employed in many control applications as they give a good performance and it is relatively easy to extract the type1 FLC parameters from experts. However, type-1 FLCs cannot fully handle the encountered uncertainties in changing unstructured environments as they use crisp type-1 fuzzy sets. Consequently, in order for type-1 FLCs to provide a satisfactory performance in face of high levels of uncertainties, some common practices are followed including continuously tuning the type-1 FLC or providing a set of type-1 FLCs where each FLC handles specific operation conditions. Alternatively, type-2 FLCs can handle uncertainties to give a better control performance. However, it is relatively challenging to extract from experts the Footprint of Uncertainty (FOU) information and consequently the type-2 fuzzy sets for type-2 FLCs. In this paper, we will present a novel method for generating the input and output type-2 fuzzy sets so that their FOUs can capture the faced uncertainties. The proposed method will generate a type-2 FLC that will try to embed the type-1 FLCs corresponding to the various operation conditions faced so far besides embedding a large number of other embedded type-1 FLCs. This will allow the type-2 FLC to handle the uncertainties trough a big number of embedded type-1 FLCs to produce a smooth and robust control performance. We will show through real world experiments how the developed type-2 FLC will handle the uncertainties and give a smooth control response that outperforms the individual and aggregated type-1 FLCs. © 2008 IEEE.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: IEEE International Conference on Fuzzy Systems |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 25 Jan 2013 10:30 |
Last Modified: | 04 Jun 2024 23:20 |
URI: | http://repository.essex.ac.uk/id/eprint/4842 |