控制理论(社会学)
观察员(物理)
状态变量
变量(数学)
国家观察员
扰动(地质)
滤波器(信号处理)
自适应滤波器
计算机科学
控制工程
自适应控制
传递函数
α-β滤光片
实现(概率)
数学
工程类
控制(管理)
算法
人工智能
卡尔曼滤波器
统计
扩展卡尔曼滤波器
数学分析
生物
计算机视觉
热力学
物理
非线性系统
电气工程
移动视界估计
古生物学
量子力学
标识
DOI:10.1002/9781394178131.ch11
摘要
This chapter considers an adaptive disturbance observer that simultaneously estimates the parameters, state variables, and disturbances of a control plant with unknown parameters. It shows a design process of an adaptive disturbance observer by making use of a Kreisselmeier-type adaptive observer. The chapter introduces the basic design flow and design examples based on the assumption of designable plants. It then introduces the general structure of an adaptive observer and understand the path to designing each element of the observer in sequence. Considering that all 2n coefficients of the transfer function are unknown, it is necessary to devise a way to estimate them. Then, professional engineers' need to design a state variable filter in the form of nonminimal realization instead of a state variable filter.
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