随机高阶全驱动系统:模型、等价与稳定

Xueqing Liu, Maoyin Chen, Li Sheng, Donghua Zhou
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引用次数: 2

摘要

本文建立了一种随机高阶全驱动系统模型,补充了现有的高阶全驱动系统方法。与确定性模型不同,该模型可以考虑随机信号。利用高阶算子,得到了保证闭环系统全局概率渐近稳定的等效控制律和镇定控制律。最后,仿真结果验证了所提控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic High-order Fully-actuated Systems: Model, Equivalence and Stabilization
This paper develops a stochastic high-order fully-actuated systems model that complements the existing highorder fully-actuated system methodology. Different from the deterministic model, stochastic signals can be considered in the proposed version. By employing a high-order operator, the equivalent control and stabilization control laws are obtained to guarantee the global asymptotical stability in probability of the closed-loop system. Finally, the simulation results show the effectiveness of the proposed control schemes.
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