Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems

Pekaslan, Direnc; Garibaldi, Jonathan M.; Wagner, Christian

Abstract

Real-world environments face a wide range of noise (uncertainty) sources and gaining insight into the level of noise is a critical part of many applications. While Non-Singleton Fuzzy Logic Systems (NSFLSs), in particular recently introduced advanced variants such as centroid-based NSFLSs have the capacity to handle known quantities of uncertainty, thus far, the actual level of uncertainty has had to be defined a priori - i.e. prior to run time of a system or controller. This paper does not focus on such advances within the architecture of NSFLSs, but focuses on a novel two-stage approach for uncertainty handling in fuzzy logic systems which integrates: (i) estimation of noise levels and (ii) the appropriate handling of the noise based on this estimate, by means of a dynamically configured NSFLS. As initial evaluation of the approach, two chaotic nonlinear time series (Mackey-Glass and Lorenz), as well as a real-world Darwin sea level pressure series prediction fuzzy logic systems are implemented and compared to commonly used procedures. The results indicate that the proposed strategy of integrating uncertainty/noise estimation with the capacity of non-singleton fuzzy logic systems has the potential to deliver performance benefits in real-world applications without requiring a priori information on noise levels and thus delivers a first step towards smart, noise-adaptive non-singleton fuzzy logic systems and controllers.

Citation

Pekaslan, D., Garibaldi, J. M., & Wagner, C. (2018, October). Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems. Presented at 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
• Start Date: Oct 7, 2018
• End Date: Oct 10, 2018
• Acceptance Date: Jun 17, 2018
• Online Publication Date: Jan 17, 2019
• Publication Date: 2018-10
• Deposit Date: Jul 27, 2018
• Publicly Available Date: Oct 31, 2018
• Peer Reviewed: Peer Reviewed
• Pages: 2960-2965
• Series ISSN: 2577-1655
• Book Title: Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
• ISBN: 978-1-5386-6651-7
• DOI: https://doi.org/10.1109/SMC.2018.00503
• Public URL: https://nottingham-repository.worktribe.com/output/939074
• Publisher URL: https://ieeexplore.ieee.org/document/8616499
• Additional Information: © 2018 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.
• Contract Date: Jul 27, 2018