English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, the neural network sliding mode control design method is studied for the large enveloping flight control law of the model with very different flight parameters. The neural network theory is used to approximate the nonlinear system and eliminate the errors brought by the approximate inversion, and the residual error is solved by sliding model control. Therefore, the nonlinear model can be approximated accurately and the robustness and anti-jamming ability of the flight control system can be improved. The simulation results show that the design of the neural network sliding model large envelope flight controller has excellent control performance.

Model of neutral network sliding design by large envelope flight control law