This article attempts to study the high angle of attack maneuver from the perspective of switched system control. In view of the complex aerodynamic characteristics, an improved longitudinal attitude motion model is presented, which is a switched stochastic nonstrict feedback nonlinear system with distributed delays. The significant design difficulty is the completely unknown diffusion and drift terms and distributed delays with all state variables. Based on a technical lemma and neural networks, an improved smooth state feedback control law for nonstrict feedback systems is proposed without any growth assumptions. To eliminate the influence of distributed delays, an improved Lyapunov–Krasovskii function is constructed, which skillfully removes the constraint of the upper bound of the delay change rate. Then, by combining the average dwell-time scheme and stochastic backstepping technique, an adaptive neural network tracking control law is designed, which extends a newly proposed switched system stability condition to the stochastic switched system. Theoretical analysis and flight control simulation experiments are provided to illustrate the effectiveness of the proposed control method.

中文翻译：

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具有平均停留时间的大迎角机动的自适应神经跟踪控制

本文试图从切换系统控制的角度研究大迎角机动。针对复杂的气动特性，提出一种改进的纵向姿态运动模型，该模型是具有分布延迟的切换随机非严格反馈非线性系统。显着的设计困难是完全未知的扩散和漂移项以及所有状态变量的分布式延迟。基于技术引理和神经网络，提出了一种改进的非严格反馈系统平滑状态反馈控制律，没有任何增长假设。为了消除分布式时延的影响，构造了改进的Lyapunov-Krasovskii函数，巧妙地去除了时延变化率上限的约束。然后，通过结合平均停留时间方案和随机反步技术，设计了自适应神经网络跟踪控制律，将新提出的切换系统稳定性条件扩展到随机切换系统。提供了理论分析和飞行控制仿真实验来说明所提出的控制方法的有效性。