...ciency 严格来讲,现实世界中所有的系统都是非线性系统,甚至 很多都是强非线性系统,因此,非线性系统滤波(Nonlinear Filter,NF)问题广泛存在于飞行器导航、目标跟踪及工业控 制等领域中,具有重要的理论意义和广阔的应用前景。
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实验结果表明,在非线性系统模型的仿真中,贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
针对带有未知但有界噪声的非线性系统,提出一种椭球集员滤波算法,并将其应用于保证故障检测与隔离。
A set membership filtering algorithm using ellipsoidal sets for nonlinear systems with unknown but bounded noises is proposed and applied to guaranteed fault detection and isolation(FDI).
对于未知的非线性系统,利用误差滤波方法,提出了一种自适应模糊调节器的设计方法。
For unknown nonlinear systems, by using error filtering method, a design method of adaptive fuzzy regulator is proposed.
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