{"title":"多重高阶非线性局部代价函数的分布优化","authors":"Shengshuai Wu, Yu Zhao","doi":"10.1109/CCDC.2019.8832981","DOIUrl":null,"url":null,"abstract":"The distributed optimization problem of multi-agent system with multiple high-order Lipschiz-type nonlinear local cost functions is studied in this brief. The objective is for a multi-agent system to achieve the goal of minimizing team performance function formed by the sum of local performance functions where each local objective function is known to only one agent. Then a new distributed optimization algorithm is proposed, and the asymptotical convergence is guaranteed through the Lyapunov stability and optimization analysis.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed Optimization for Multiply High-Order Nonlinear Local Cost Functions\",\"authors\":\"Shengshuai Wu, Yu Zhao\",\"doi\":\"10.1109/CCDC.2019.8832981\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The distributed optimization problem of multi-agent system with multiple high-order Lipschiz-type nonlinear local cost functions is studied in this brief. The objective is for a multi-agent system to achieve the goal of minimizing team performance function formed by the sum of local performance functions where each local objective function is known to only one agent. Then a new distributed optimization algorithm is proposed, and the asymptotical convergence is guaranteed through the Lyapunov stability and optimization analysis.\",\"PeriodicalId\":254705,\"journal\":{\"name\":\"2019 Chinese Control And Decision Conference (CCDC)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Chinese Control And Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2019.8832981\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2019.8832981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed Optimization for Multiply High-Order Nonlinear Local Cost Functions
The distributed optimization problem of multi-agent system with multiple high-order Lipschiz-type nonlinear local cost functions is studied in this brief. The objective is for a multi-agent system to achieve the goal of minimizing team performance function formed by the sum of local performance functions where each local objective function is known to only one agent. Then a new distributed optimization algorithm is proposed, and the asymptotical convergence is guaranteed through the Lyapunov stability and optimization analysis.
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