System identification in presence of undetectable packet losses in the actuation path

IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Transactions of the Institute of Measurement and Control Pub Date : 2023-11-08 DOI:10.1177/01423312231202667
Amir Mohammadzadeh, Babak Tavassoli
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Abstract

Identification of networked systems over communication links with packet losses is considered. It is assumed that there is no connection from the actuators to the system identifier such that no information is available on loss of data packets carrying the actuation signals. While the packet loss occurrences in the sensor links are naturally detectable by the system identifier as the receiving node, the packet loss occurrences in the actuation paths are not directly detectable. The existing system identification methods fail to be applicable without the information on packet loss occurrences. Presenting a solution for this issue is the objective of the present work. Two recursive algorithms are proposed to solve the problem in real time. For this purpose, ARMAX input–output representations of the system with Markovian jumping modes are developed. Then, filters are designed for estimation of the packet loss occurrences. The estimated mode is used in the recursive algorithms for identification of the whole system based on the maximum likelihood approach. A main algorithm and its simplified version are proposed that are capable of finding the various kinds of system parameters including the physical plant parameters and the communication mode transition probabilities. Effectiveness of the algorithms is verified through simulation examples where the system performance is evaluated and compared.
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在驱动路径中存在无法检测到的数据包丢失时的系统识别
考虑了在通信链路上具有丢包的网络系统的识别。假定没有从致动器到系统标识符的连接,因此没有关于携带致动信号的数据包丢失的可用信息。作为接收节点的系统标识符可以自然地检测到传感器链路中的丢包情况,而驱动路径中的丢包情况则不能直接检测到。如果没有丢包信息,现有的系统识别方法将无法应用。提出解决这个问题的办法是本工作的目的。为了实时解决这一问题,提出了两种递归算法。为此,开发了具有马尔可夫跳跃模式的系统的ARMAX输入输出表示。然后,设计了用于估计丢包发生的过滤器。在基于极大似然方法的递推算法中,采用估计模式对整个系统进行辨识。提出了一种能够求出各种系统参数的主要算法及其简化版本,包括物理设备参数和通信模式转移概率。通过仿真实例对系统性能进行了评价和比较,验证了算法的有效性。
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来源期刊
CiteScore
4.10
自引率
16.70%
发文量
203
审稿时长
3.4 months
期刊介绍: Transactions of the Institute of Measurement and Control is a fully peer-reviewed international journal. The journal covers all areas of applications in instrumentation and control. Its scope encompasses cutting-edge research and development, education and industrial applications.
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