{"title":"分数阶线性多智能体系统的自适应最优调节控制器设计","authors":"Tingting Zhou, Huaiqin Wu, Jinde Cao, Xia Li","doi":"10.1002/oca.3075","DOIUrl":null,"url":null,"abstract":"Summary This express brief is concerned with the adaptive and optimal regulation control for fractional linear multi‐agent systems (MASs). Firstly, the adaptive control strategy is applied to address the regulation issue for fractional linear MASs with time varying edges. Under the designed adaptive control protocols with adaptive edge‐dependent synchronization gain, the regulation condition is achieved by constructing a Lyapunov functional with the edges. Secondly, the optimal control approach is used to solve the regulation issue for fractional linear MASs with constant edges. The optimization gain is chosen by minimizing an appropriate performance function. Moreover, the synchronization objectives are also achieved based on the proposed the regulation conditions. Finally, the correctness of the theoretical analysis and the feasibility of the designed controllers are verified by two numerical examples.","PeriodicalId":105945,"journal":{"name":"Optimal Control Applications and Methods","volume":" 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive and optimal regulation controller design for fractional linear multi‐agent systems\",\"authors\":\"Tingting Zhou, Huaiqin Wu, Jinde Cao, Xia Li\",\"doi\":\"10.1002/oca.3075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary This express brief is concerned with the adaptive and optimal regulation control for fractional linear multi‐agent systems (MASs). Firstly, the adaptive control strategy is applied to address the regulation issue for fractional linear MASs with time varying edges. Under the designed adaptive control protocols with adaptive edge‐dependent synchronization gain, the regulation condition is achieved by constructing a Lyapunov functional with the edges. Secondly, the optimal control approach is used to solve the regulation issue for fractional linear MASs with constant edges. The optimization gain is chosen by minimizing an appropriate performance function. Moreover, the synchronization objectives are also achieved based on the proposed the regulation conditions. Finally, the correctness of the theoretical analysis and the feasibility of the designed controllers are verified by two numerical examples.\",\"PeriodicalId\":105945,\"journal\":{\"name\":\"Optimal Control Applications and Methods\",\"volume\":\" 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optimal Control Applications and Methods\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/oca.3075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimal Control Applications and Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/oca.3075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive and optimal regulation controller design for fractional linear multi‐agent systems
Summary This express brief is concerned with the adaptive and optimal regulation control for fractional linear multi‐agent systems (MASs). Firstly, the adaptive control strategy is applied to address the regulation issue for fractional linear MASs with time varying edges. Under the designed adaptive control protocols with adaptive edge‐dependent synchronization gain, the regulation condition is achieved by constructing a Lyapunov functional with the edges. Secondly, the optimal control approach is used to solve the regulation issue for fractional linear MASs with constant edges. The optimization gain is chosen by minimizing an appropriate performance function. Moreover, the synchronization objectives are also achieved based on the proposed the regulation conditions. Finally, the correctness of the theoretical analysis and the feasibility of the designed controllers are verified by two numerical examples.