A Type 2 wavelet brain emotional learning network with double recurrent loops based controller for nonlinear systems

Wang, Zi-Qi, Li, Li-Jiang, Chao, Fei, Lin, Chih-Min, Yang, Longzhi, Zhou, Changle, Chang, Xiang, Shang, Changjing and Shen, Qiang (2022) A Type 2 wavelet brain emotional learning network with double recurrent loops based controller for nonlinear systems. Knowledge-Based Systems, 251. p. 109274. ISSN 0950-7051

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Official URL: https://doi.org/10.1016/j.knosys.2022.109274

Abstract

Conventional controllers for nonlinear systems often suffer from co-existences of non-linearity and uncertainty. This paper proposes a novel brain emotional neural network to address such challenges. The proposed network integrates a Type 2 wavelet neural network into a conventional brain emotional learning network which is further enhanced by the introduction of a recurrent structure. The proposed network, therefore, combines the advantages of the Type 2 wavelet function, recurrent mechanism, and brain emotional learning system, so as to obtain optimal performance under uncertain environments. The proposed network works with a compensator to mimic an ideal controller, and the parameters of both the network and compensator are updated based on laws derived from the Lyapunov stability analysis theory. The proposed system was applied to z-axis microelectromechanical system gyroscope. The experimental results demonstrate that the proposed system outperformed other popular neural-network-based control systems, indicating the superiority of the proposed network-based controller.

Item Type: Article
Additional Information: Funding information: This work was supported by the Natural Science Foundation of Fujian Province of China (No. 2021J01002).
Uncontrolled Keywords: Brain emotional learning network, Neural network control systems, Nonlinear systems, Double recurrent neural loops
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 07 Oct 2022 08:42
Last Modified: 07 Oct 2022 08:45
URI: https://nrl.northumbria.ac.uk/id/eprint/50317

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