Parametric uncertainties and the problems associated with the design of robust state feedback control tends to be a major concern for achieving stable operation of nonlinear systems. To overcome these drawbacks, this article provides a perspective on a randomized algorithm based probabilistic control for nonlinear systems. The control approach aims at development of randomized algorithms for control of unmanned helicopters which are subjected to uncertainties. A controller gain is synthesized by developing a robust probabilistic approach using sequential randomized algorithm with the two degree of freedom helicopter system. Subsequently, the stability and reachability for the action of developed controller is validated with the help of Lyapunov asymptotic stability and reach tube analysis, and the corresponding results were analyzed. A comparative assessment of simulation and real‐time control results of projected approaches on helicopter model are presented for validation of the controller response.

中文翻译：

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无人直升机中参数不确定性的随机概率方法

参数不确定性和鲁棒状态反馈控制设计相关的问题往往是实现非线性系统稳定运行的主要考虑因素。为了克服这些缺点，本文提供了一种基于随机算法的非线性系统概率控制的观点。该控制方法旨在开发用于控制不确定性的无人直升机的随机算法。通过使用具有两个自由度直升机系统的顺序随机算法开发鲁棒的概率方法，可以合成控制器增益。随后，借助Lyapunov渐近稳定性和到达管分析，验证了所开发控制器动作的稳定性和可达性，并分析了相应的结果。