Data-Driven Learning-Based Fault Tolerant Stability Analysis

Lei Ge and Shun Chen

Complexity, 2020, vol. 2020, 1-7

Abstract:

In this paper, a new data-driven learning method is investigated based on the dynamical data of the system. A regularized regression wavelet (RRW) approach is proposed to optimize the learning result for the system fault. Based on the optimizing results, a fault tolerant stability scheme is given. Then, the efficiency of the proposed technique is verified by a vertical take-off and landing (VTOL) aircraft stability example.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:1891273

DOI: 10.1155/2020/1891273

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