可变采样周期的采样和延迟线性系统的PI分段连续观测器设计

Y. Li, Haoping Wang, Yang Tian
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引用次数: 0

摘要

近年来,网络控制系统和视觉伺服系统受到了广泛的关注,但由于网络延迟和视觉传感器的低采样率,给控制带来了问题。为了减少采样和延迟的影响,本文基于一类特殊的混合系统——线性分段连续混合系统的理论,研究了比例积分分段连续观测器。本文提出的PI-PCO可以利用可变采样周期的采样和延迟测量来估计连续和非延迟状态。为了验证所提出的PI-PCO的性能,给出了一些数值模拟与比较结果。
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PI Piecewise Continuous Observer Design for Sampled and Delayed Linear Systems with Variable Sampling Time Period
: In recent years, network control systems and visual servo systems have received a lot of attention, but due to network delay and the low sampling rate of visual sensors, it has caused problems for control. In order to reduce the effects of the sampling and delay, this paper deals with proportional integration piecewise continuous observer (PI-PCO), which is based on the theory of a particular class of hybrid systems, called linear piecewise continuous hybrid system (LPCHS). This proposed PI-PCO can estimate the continuous and non-delay state by using the sampled and delayed measurements with variable sampling time period. To show the proposed PI-PCO performance, some numerical simulations with compared results are demonstrated.
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