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 article, fuzzy model predictive control of flexible air-breathing hypersonic vehicles with unmodeled actuator sensor failures is proposed. The actuator sensor of flexible air-breathing hypersonic vehicle is assumed to suffer from some failures, which are difficult to be modeled. A control-oriented model of sensor failures is derived from the statistics law of input and output data of the sensor. A Takagi–Sugeno fuzzy model is utilized to approach the longitudinal dynamics model of flexible air-breathing hypersonic vehicles. Then, fuzzy model predictive control is proposed. A Lyapunov function approach is utilized and a set of linear matrix inequalities are given to solve the corresponding controller optimization problem. Simulation results are given to show the excellent reference altitude and velocity tracking performance of the proposed controller design method

Fuzzy model predictive control of flexible air-breathing hypersonic vehicles with unmodeled actuator sensor failures