{"title":"Disturbance observer-based adaptive fuzzy finite-time cooperative control for high-order multi-agent systems with input saturation","authors":"Feng Hu , Tiedong Ma","doi":"10.1016/j.eswa.2025.127179","DOIUrl":null,"url":null,"abstract":"<div><div>This paper addresses the problem of adaptive fuzzy finite-time cooperative control for high-order multi-agent systems, with particular attention to the issue of input saturation. To this end, a fuzzy adaptive controller is proposed by integrating adaptive control, disturbance observers, dynamic surface control, and fuzzy logic techniques. First, fuzzy logic systems are embedded within the dynamic surface control framework to effectively compensate for nonlinearities in the system. Second, a disturbance observer is introduced to facilitate the estimation of unknown and mismatched disturbances. In addition, a command filtering method is employed to mitigate the “explosion of complexity”. Notably, the proposed approach guarantees that the formation error converges to a small neighborhood around zero in finite time. Finally, the effectiveness of the proposed algorithm is demonstrated through its application to the cooperative control of unmanned surface vehicles.</div></div>","PeriodicalId":50461,"journal":{"name":"Expert Systems with Applications","volume":"276 ","pages":"Article 127179"},"PeriodicalIF":7.5000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Systems with Applications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957417425008012","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This paper addresses the problem of adaptive fuzzy finite-time cooperative control for high-order multi-agent systems, with particular attention to the issue of input saturation. To this end, a fuzzy adaptive controller is proposed by integrating adaptive control, disturbance observers, dynamic surface control, and fuzzy logic techniques. First, fuzzy logic systems are embedded within the dynamic surface control framework to effectively compensate for nonlinearities in the system. Second, a disturbance observer is introduced to facilitate the estimation of unknown and mismatched disturbances. In addition, a command filtering method is employed to mitigate the “explosion of complexity”. Notably, the proposed approach guarantees that the formation error converges to a small neighborhood around zero in finite time. Finally, the effectiveness of the proposed algorithm is demonstrated through its application to the cooperative control of unmanned surface vehicles.
期刊介绍:
Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.