基于混合信号的状态估计方法

Approach of state estimation based on hybrid signals

传统的系统状态估计方法只用到连续信号,而离散测量信号所包含的信息没有得到利用.提出一种基于混合信号(包括连续和离散)的系统状态估计方法,既利用了连续信号,也用到离散信号的信息.该方法将离散信号的变化视作系统的离散事件,提取其准确的信息并参与系统状态估计,构成具有混合系统特性的新型状态估计器.还讨论了该估计器的稳定性条件和设计方法.仿真实验证明这种所提出的状态估计方法可以有效地改善系统的状态估计性能.

While only continuous signals are utilized in traditional system states estimation approach,information contained in discrete measurements is ignored.A new approach is proposed,that makes use of these continuous signals and also those discrete signals.In the proposed framework,information contained in these discrete events of system,denoting the changes of discrete signals,is involved in system states estimation as those continuous signals,and then the novel state estimator is constructed.Stability conditions and design procedures for this estimator are also discussed.The simulation experiment demonstrates that the proposed approach based on hybrid signals could improve the performance of system states estimations.