{"title":"控制方向未知的不确定切换非线性系统的无颠簸传递自适应控制","authors":"Feiyue Wu, Dong Wang, Jie Lian","doi":"10.1002/rnc.7892","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article investigates the bumpless transfer (BT) adaptive control of a class of uncertain switched non-linear systems with unknown parameters and unknown control direction. The inherent complexities associated with non-linear dynamics and parametric uncertainties make it difficult to mitigate switching bumps caused by abrupt jumps in the control input signal. Existing approaches, such as tuning controller parameters or limiting control gains, have proven ineffective in resolving this challenge. To overcome this, an auxiliary system is constructed to establish a connection between the tracking performance and the BT performance, thereby quantifying the impact of switching bumps. A BT adaptive control scheme is proposed to accommodate the dynamic uncertainties by estimating switching parameters. Moreover, a mechanism to manage the unknown control direction is incorporated by appropriately selecting the control direction for the auxiliary system. The proposed BT adaptive control scheme ensures that all the closed-loop signals and the tracking error remain ultimately bounded. Simultaneously, it guarantees satisfactory BT performance, with the flexibility to modify design parameters for further improvements. Finally, simulation results are presented to demonstrate the effectiveness of the proposed control schemes.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3866-3875"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bumpless Transfer Adaptive Control for Uncertain Switched Non-Linear Systems With Unknown Control Direction\",\"authors\":\"Feiyue Wu, Dong Wang, Jie Lian\",\"doi\":\"10.1002/rnc.7892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This article investigates the bumpless transfer (BT) adaptive control of a class of uncertain switched non-linear systems with unknown parameters and unknown control direction. The inherent complexities associated with non-linear dynamics and parametric uncertainties make it difficult to mitigate switching bumps caused by abrupt jumps in the control input signal. Existing approaches, such as tuning controller parameters or limiting control gains, have proven ineffective in resolving this challenge. To overcome this, an auxiliary system is constructed to establish a connection between the tracking performance and the BT performance, thereby quantifying the impact of switching bumps. A BT adaptive control scheme is proposed to accommodate the dynamic uncertainties by estimating switching parameters. Moreover, a mechanism to manage the unknown control direction is incorporated by appropriately selecting the control direction for the auxiliary system. The proposed BT adaptive control scheme ensures that all the closed-loop signals and the tracking error remain ultimately bounded. Simultaneously, it guarantees satisfactory BT performance, with the flexibility to modify design parameters for further improvements. Finally, simulation results are presented to demonstrate the effectiveness of the proposed control schemes.</p>\\n </div>\",\"PeriodicalId\":50291,\"journal\":{\"name\":\"International Journal of Robust and Nonlinear Control\",\"volume\":\"35 9\",\"pages\":\"3866-3875\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Robust and Nonlinear Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7892\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7892","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}
Bumpless Transfer Adaptive Control for Uncertain Switched Non-Linear Systems With Unknown Control Direction
This article investigates the bumpless transfer (BT) adaptive control of a class of uncertain switched non-linear systems with unknown parameters and unknown control direction. The inherent complexities associated with non-linear dynamics and parametric uncertainties make it difficult to mitigate switching bumps caused by abrupt jumps in the control input signal. Existing approaches, such as tuning controller parameters or limiting control gains, have proven ineffective in resolving this challenge. To overcome this, an auxiliary system is constructed to establish a connection between the tracking performance and the BT performance, thereby quantifying the impact of switching bumps. A BT adaptive control scheme is proposed to accommodate the dynamic uncertainties by estimating switching parameters. Moreover, a mechanism to manage the unknown control direction is incorporated by appropriately selecting the control direction for the auxiliary system. The proposed BT adaptive control scheme ensures that all the closed-loop signals and the tracking error remain ultimately bounded. Simultaneously, it guarantees satisfactory BT performance, with the flexibility to modify design parameters for further improvements. Finally, simulation results are presented to demonstrate the effectiveness of the proposed control schemes.
期刊介绍:
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.