{"title":"Asymptotical Tracking Control of Complex Dynamical Network Based on Links State Observer","authors":"Juan-xia Zhao, Yin-he Wang, Pei-tao Gao","doi":"10.1007/s12555-023-0626-x","DOIUrl":null,"url":null,"abstract":"<p>This paper studies how to design a control scheme for a complex dynamical network (CDN) such that the state of nodes and links can track on any given reference signals respectively, under the view that the CDN is coupled by the nodes and links. Since the dynamic behavior of the links reflects the changes in network topology(NT), the weights of the links are regarded as state variables of the NT. In addition, since the state of the links is not always avaluable in practical engineering applications, in order to address this problem, this paper provides an asymptotical state observer that uses its observation values to estimate the links state. Based on this, this paper proposes a new control scheme which designs controllers in the nodes and links respectively, to realize the asymptotical tracking control of the nodes and links. In order to understand the NT tracking target, an illustrative example is that the star topology can be chosen as the NT tracking target of communication transmission network for the centralized management. Finally, the validity of the theoretical results is verified by a numerical experiment that applies the control scheme to a helicopter model.</p>","PeriodicalId":54965,"journal":{"name":"International Journal of Control Automation and Systems","volume":"5 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Control Automation and Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12555-023-0626-x","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper studies how to design a control scheme for a complex dynamical network (CDN) such that the state of nodes and links can track on any given reference signals respectively, under the view that the CDN is coupled by the nodes and links. Since the dynamic behavior of the links reflects the changes in network topology(NT), the weights of the links are regarded as state variables of the NT. In addition, since the state of the links is not always avaluable in practical engineering applications, in order to address this problem, this paper provides an asymptotical state observer that uses its observation values to estimate the links state. Based on this, this paper proposes a new control scheme which designs controllers in the nodes and links respectively, to realize the asymptotical tracking control of the nodes and links. In order to understand the NT tracking target, an illustrative example is that the star topology can be chosen as the NT tracking target of communication transmission network for the centralized management. Finally, the validity of the theoretical results is verified by a numerical experiment that applies the control scheme to a helicopter model.
本文研究了如何在复杂动态网络(CDN)由节点和链路耦合的观点下,设计一种控制方案,使节点和链路的状态能够分别跟踪任意给定的参考信号。由于链路的动态行为反映了网络拓扑结构(NT)的变化,因此链路的权重被视为 NT 的状态变量。此外,由于在实际工程应用中,链路的状态并不总是可用的,为了解决这个问题,本文提供了一种渐近状态观测器,利用其观测值来估计链路状态。在此基础上,本文提出了一种新的控制方案,分别在节点和链路中设计控制器,以实现节点和链路的渐近跟踪控制。为了理解近似跟踪目标,可以选择通信传输网络的星型拓扑结构作为集中管理的近似跟踪目标。最后,将控制方案应用于直升机模型的数值实验验证了理论结果的正确性。
期刊介绍:
International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE).
The journal covers three closly-related research areas including control, automation, and systems.
The technical areas include
Control Theory
Control Applications
Robotics and Automation
Intelligent and Information Systems
The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.