Data-Driven Learning-Based Fault Tolerant Stability Analysis

الملخص EN

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.