{"title":"海上航空-地面非均质系统的规定性能和安全驱动的双组份密封控制","authors":"Yutao Wu;Zehui Mao;Bin Jiang;Ju H. Park;Peng Shi","doi":"10.1109/TAES.2025.3542012","DOIUrl":null,"url":null,"abstract":"This article tackles the bipartite safety-driven formation containment (BSFC) control problem for marine aerial–surface heterogeneous systems, involving uncrewed aerial vehicles and uncrewed surface vehicles. A neural network modified extended state observer is constructed to recover unavailable velocities and compensate for unknown dynamics, including actuator bias faults, approximation error, environmental disturbances, and matched/mismatched heterogeneous nonlinearities induced by model uncertainties or unknown cross-domain environmental factors. Based on this, an adaptive distributed velocity-free controller with prescribe performance constraint is proposed via the finite time command filtered backstepping design technology. In addition, the error compensation mechanism is constructed to further improve the control quality. Moreover, the integrated BSFC control and estimation performance are analyzed using the Lyapunov theory. It ensures that the errors meet the prescribed performance criteria and are uniformly ultimately bounded, with bounds that can be arbitrarily small through the selection of suitable parameters. Numerical simulations validate the effectiveness of the integrated design strategy.","PeriodicalId":13157,"journal":{"name":"IEEE Transactions on Aerospace and Electronic Systems","volume":"61 4","pages":"8743-8756"},"PeriodicalIF":5.7000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prescribed Performance and Safety-Driven Bipartite Formation Containment Control for Marine Aerial–Surface Heterogeneous Systems\",\"authors\":\"Yutao Wu;Zehui Mao;Bin Jiang;Ju H. Park;Peng Shi\",\"doi\":\"10.1109/TAES.2025.3542012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article tackles the bipartite safety-driven formation containment (BSFC) control problem for marine aerial–surface heterogeneous systems, involving uncrewed aerial vehicles and uncrewed surface vehicles. A neural network modified extended state observer is constructed to recover unavailable velocities and compensate for unknown dynamics, including actuator bias faults, approximation error, environmental disturbances, and matched/mismatched heterogeneous nonlinearities induced by model uncertainties or unknown cross-domain environmental factors. Based on this, an adaptive distributed velocity-free controller with prescribe performance constraint is proposed via the finite time command filtered backstepping design technology. In addition, the error compensation mechanism is constructed to further improve the control quality. Moreover, the integrated BSFC control and estimation performance are analyzed using the Lyapunov theory. It ensures that the errors meet the prescribed performance criteria and are uniformly ultimately bounded, with bounds that can be arbitrarily small through the selection of suitable parameters. Numerical simulations validate the effectiveness of the integrated design strategy.\",\"PeriodicalId\":13157,\"journal\":{\"name\":\"IEEE Transactions on Aerospace and Electronic Systems\",\"volume\":\"61 4\",\"pages\":\"8743-8756\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-02-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Aerospace and Electronic Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10887122/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, AEROSPACE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Aerospace and Electronic Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10887122/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
Prescribed Performance and Safety-Driven Bipartite Formation Containment Control for Marine Aerial–Surface Heterogeneous Systems
This article tackles the bipartite safety-driven formation containment (BSFC) control problem for marine aerial–surface heterogeneous systems, involving uncrewed aerial vehicles and uncrewed surface vehicles. A neural network modified extended state observer is constructed to recover unavailable velocities and compensate for unknown dynamics, including actuator bias faults, approximation error, environmental disturbances, and matched/mismatched heterogeneous nonlinearities induced by model uncertainties or unknown cross-domain environmental factors. Based on this, an adaptive distributed velocity-free controller with prescribe performance constraint is proposed via the finite time command filtered backstepping design technology. In addition, the error compensation mechanism is constructed to further improve the control quality. Moreover, the integrated BSFC control and estimation performance are analyzed using the Lyapunov theory. It ensures that the errors meet the prescribed performance criteria and are uniformly ultimately bounded, with bounds that can be arbitrarily small through the selection of suitable parameters. Numerical simulations validate the effectiveness of the integrated design strategy.
期刊介绍:
IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.