Quantized Output Feedback Tracking Control for Discrete-Time Periodic Markov Jump Systems With Packet Loss Compensation

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-10-31 DOI:10.1109/TASE.2024.3486067
Fan Zhang;Mingang Hua;Feiqi Deng;Juntao Fei;Hua Chen
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Abstract

The $H_{\infty }$ static output feedback tracking control issue for discrete-time periodic Markov jump systems with quantization and packet loss is explored. The packet loss follows Bernoulli random distribution, which assumes that the packet is discarded in a probabilistic manner before being transmitted to the controller. On this basis, considering the restricted network bandwidth, a novel quantization-based packet loss compensation scheme using single exponential smoothing approach is firstly given to help offset the influence of network congestion and missing packets. Then, an output feedback tracking controller is firstly designed to minimize the tracking error between the system output and the given reference model output. Aiming at the loss of mode information, the tracking controller designed is partially mode-dependent. Furthermore, by giving a mode-dependent Lyapunov function with periodicity, the sufficient condition for the existence of this controller is derived to ensure the stability of the tracking error system with $H_{\infty }$ performance. Ultimately, the effectiveness and practicality of the developed technique are demonstrated through an example of a single-link robotic arm model. Note to Practitioners—In real life, periodic systems generated by random mutations can be seen everywhere, such as economic systems. This type of system undergoes structural or parameter changes within a single operating period due to sudden changes in the external environment. Periodic Markov jump systems (PMJSs) can effectively describe complex systems with both periodic and stochastic characteristics. To address the adverse effects of quantization and packet loss, a new packet loss compensation strategy based on single exponential smoothing method and quantization is proposed. On the other hand, research on output feedback tracking control is crucial for fields such as missiles and spacecraft. To ensure that the system can operate according to the specified trajectory, a new design method for a periodic output feedback tracking controller has been proposed. And this type of controller effectively solves the tracking problem of PMJSs with quantization and packet loss.
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带丢包补偿的离散时间周期马尔可夫跃迁系统的量化输出反馈跟踪控制
研究了具有量化和丢包的离散周期马尔可夫跳变系统$H_{\infty }$静态输出反馈跟踪控制问题。丢包遵循伯努利随机分布,该分布假设数据包在传输到控制器之前以概率方式被丢弃。在此基础上,考虑到有限的网络带宽,首先提出了一种基于单指数平滑方法的量化丢包补偿方案,以帮助抵消网络拥塞和丢包的影响。然后,首先设计了输出反馈跟踪控制器,使系统输出与给定参考模型输出之间的跟踪误差最小;针对模式信息的丢失,设计了部分模式依赖的跟踪控制器。进一步,通过给出具有周期性的模相关Lyapunov函数,推导了该控制器存在的充分条件,以保证具有$H_{\infty }$性能的跟踪误差系统的稳定性。最后,以单连杆机械臂模型为例,验证了该方法的有效性和实用性。从业人员注意事项——在现实生活中,由随机突变产生的周期性系统随处可见,比如经济系统。这类系统由于外部环境的突然变化,在单个运行周期内发生结构或参数变化。周期马尔可夫跳变系统(PMJSs)可以有效地描述具有周期性和随机性特征的复杂系统。针对量化和丢包的不利影响,提出了一种基于单指数平滑法和量化的丢包补偿策略。另一方面,输出反馈跟踪控制的研究对于导弹、航天器等领域具有重要意义。为保证系统按指定轨迹运行,提出了一种周期输出反馈跟踪控制器的设计方法。该控制器有效地解决了pmjs的量化和丢包跟踪问题。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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