Application of Deep Reinforcement Learning in Reconfiguration Control of Aircraft Anti-Skid Braking System

The aircraft anti-skid braking system (AABS) plays an important role in aircraft taking off, taxiing, and safe landing. In addition to the disturbances from the complex runway environment, potential component faults, such as actuators faults, can also reduce the safety and reliability of AABS. To me...

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發表在:	Aerospace
Main Authors:	Shuchang Liu, Zhong Yang, Zhao Zhang, Runqiang Jiang, Tongyang Ren, Yuan Jiang, Shuang Chen, Xiaokai Zhang
格式:	Article
語言:	英语
出版:	MDPI AG 2022-09-01
主題:	aircraft anti-skid braking system actuator faults reconfiguration control linear active-disturbance rejection control deep reinforcement learning twin delayed deep deterministic policy gradient algorithm
在線閱讀:	https://www.mdpi.com/2226-4310/9/10/555