A comparison of non-stationary, type-2 and dual surface fuzzy control

Benatar, Naisan, Aickelin, Uwe and Garibaldi, Jonathan M. (2011) A comparison of non-stationary, type-2 and dual surface fuzzy control. In: 2011 IEEE International Conference on Fuzzy Systems, 27-30 June 2011, Taipei, Taiwan.

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Abstract

Type-1 fuzzy logic has frequently been used in control systems. However this method is sometimes shown to be too restrictive and unable to adapt in the presence of uncertainty. In this paper we compare type-1 fuzzy control with several other fuzzy approaches under a range of uncertain conditions. Interval type-2 and non-stationary fuzzy controllers are compared, along with ‘dual surface’ type-2 control, named due to utilising both the lower and upper values produced from standard interval type-2 systems. We tune a type-1 controller, then derive the membership functions and footprints of uncertainty from the type-1 system and evaluate them using a simulated autonomous sailing problem with varying amounts of environmental uncertainty. We show that while these more sophisticated controllers can produce better performance than the type-1 controller, this is not guaranteed and that selection of Footprint of Uncertainty (FOU) size has a large effect on this relative performance.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/706964
Additional Information: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. [DOI 10.1109/FUZZY.2011.6007602]
Keywords: Fuzzy Control; Interval Type-2 Fuzzy; Non-stationary; Robot Boat control
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
University of Nottingham, UK > Faculty of Science > School of Computer Science
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Depositing User: Aickelin, Professor Uwe
Date Deposited: 17 Jun 2016 10:13
Last Modified: 04 May 2020 16:30
URI: https://eprints.nottingham.ac.uk/id/eprint/34128

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