{"title":"Formation control for multiple nonlinear autonomous agents based on iterative method","authors":"Xi-xin Yang, Shiyuan Han, Dong Wang, Jin Zhou","doi":"10.1109/ICCSS.2015.7281148","DOIUrl":null,"url":null,"abstract":"This paper is concerned with approximate optimal formation control for multiple nonlinear autonomous agents based on iterative method. By designing some concatenation vectors, a whole multi-agent system is obtained, and the original formation control problem is transformed into a classic tracking problem. Based on the classic optimal tracking control theories, the optimal formation control problem is viewed as a two-point boundary value problem. Then, the approximate formation controller is obtained by using the successive approximation approach, which composes of analytic feedback terms and a compensation term. The compensation term can be obtained by calculating an iteration adjoint vectors. By introducing a finite term of the adjoint vector sequence, an approximate formation controller is designed. Simulation results show that the proposed approximate formation controller produces the better value of control performances.","PeriodicalId":299619,"journal":{"name":"2015 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSS.2015.7281148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper is concerned with approximate optimal formation control for multiple nonlinear autonomous agents based on iterative method. By designing some concatenation vectors, a whole multi-agent system is obtained, and the original formation control problem is transformed into a classic tracking problem. Based on the classic optimal tracking control theories, the optimal formation control problem is viewed as a two-point boundary value problem. Then, the approximate formation controller is obtained by using the successive approximation approach, which composes of analytic feedback terms and a compensation term. The compensation term can be obtained by calculating an iteration adjoint vectors. By introducing a finite term of the adjoint vector sequence, an approximate formation controller is designed. Simulation results show that the proposed approximate formation controller produces the better value of control performances.