Jiajie Luo
A Novel Approach for Solving the Time-Varying Complex-Valued Linear Matrix Inequality Based on Fuzzy-Parameter Zeroing Neural Network
Luo, Jiajie; Li, Jichun; Holderbaum, William; Li, Jiguang
Abstract
Solving linear matrix inequality (LMI) is crucial across diverse fields, and the emergence of zeroing neural networks (ZNN) presents a novel solution for the time-varying LMI (TV-LMI) challenge. However, the application of ZNN to solve the time-varying complex-valued LMI (TVCV-LMI) problem remains unexplored. Therefore, we introduce a novel fuzzy-parameter ZNN (FP-ZNN) model in this study to tackle the TVCV-LMI problem. With the introduction of fuzzy logic system (FLS), the FP-ZNN model is able to adjust the fuzzy convergence parameter (FCP) in a real-time manner, responding to any change in the system error and achieving the best performance. We also use an exponential activation function (EAF) in our study, which makes the FP-ZNN model fixed-time stable. To verify and illustrate the superior features of the elegant FPZNN model, detailed theoretical analysis, together with numerical experiments, are provided, and the results emphasize the fixed-time stability and adaptiveness of the FP-ZNN model further. As a novel approach, we provide an elegant solution to the TVCV-LMI problem in this paper.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2024 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE International Conference on Robotics, Automation and Mechatronics (RAM) |
Start Date | Aug 8, 2024 |
End Date | Aug 11, 2024 |
Acceptance Date | Jun 1, 2024 |
Online Publication Date | Sep 16, 2024 |
Publication Date | Aug 11, 2024 |
Deposit Date | Nov 1, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 543-548 |
Book Title | 2024 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE International Conference on Robotics, Automation and Mechatronics (RAM) |
ISBN | 9798350364200 |
DOI | https://doi.org/10.1109/cis-ram61939.2024.10672985 |
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