Work

Robust Adaptive Filtering Based on Exponential Functional Link Network

Year: 2021

Type: preprint

Abstract: The exponential functional link network (EFLN) has been recently investigated and applied to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a novel inverse square root (ISR) cost function, called the EFLN-ISR algorithm, whose learning capability is robust under impulsive interference. The steady-state performance of EFLN-ISR is rigorously derived and then confirmed by numerical simulations. Moreover, the validity of the proposed EFLN-ISR algorithm is justified by the actually experimental results with the application to hysteretic nonlinear system identification.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2102.02952

Authors: Yu, T., Li, W., Yu, Y., de Lamare, R. C.

Institutions: Southwest University of Science and Technology, Southwest Petroleum University, University of York, Pontifícia Universidade Católica do Rio de Janeiro

Language: English

Topic: Advanced Adaptive Filtering Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Southwest Petroleum University

Awards: G2192828347, 动态迟滞非线性系统建模、控制与应用研究, G8934363645

OpenAlex ID: W3128637520

Cites: 42

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