控制理论(社会学)
可观测性
观察员(物理)
国家观察员
状态向量
执行机构
计算机科学
α-β滤光片
模式(计算机接口)
数学
卡尔曼滤波器
控制(管理)
人工智能
非线性系统
扩展卡尔曼滤波器
物理
操作系统
经典力学
量子力学
应用数学
移动视界估计
作者
Saikat Mondal,Abhisek K. Behera
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:: 1-8
被引量:1
标识
DOI:10.1109/tac.2023.3310665
摘要
This paper deals with the practical state estimation for an uncertain dynamical system under feedback constraints. We propose an event-triggered sliding mode observer to estimate the states in the practical sense, i.e., arbitrary steady-state bound can be achieved for the estimation error irrespective of the disturbance signal. A new sliding mode observer is proposed with the discon-tinuous output error injection vector of the same order as that of the disturbance vector; therefore the observer can be represented by an interconnection of continuous and discontinuous dynamics. Two scenarios are considered for implementing this observer in the event-triggering framework viz., the actuator side implementa-tion and the sensor side implementation, in which the observer is run at the actuator and sensor sides, respectively. However, the event-triggering mechanism in both cases is placed in the sensor end to regulate the transmission of output/estimated values. It is shown under the observability assumption that the event-triggered observer estimates the states practically with intermittent commu-nication and disturbance input. Finally, we take a practical example to illustrate the state estimation using the proposed sliding mode observer.
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