{"title":"Estimation and Control for Collective Motion with Intermittent Locomotion","authors":"A. A. Thompson, Leela Cañuelas, D. Paley","doi":"10.23919/ACC53348.2022.9867313","DOIUrl":null,"url":null,"abstract":"Inspired by the periodic swimming of many fish species, this paper presents a dynamic model of self-propelled particles with a periodic controller. The dynamics are split into a burst phase during which each particle applies a control input and a coast phase during which each particle performs state estimation. Using a closed-loop heading controller and a linear observer, we evaluate conditions that stabilize the equilibrium points for a single particle and for multiple particles using noise-free state feedback or output feedback. Practical stability bounds are evaluated for a single particle with bounded actuator noise with state feedback and bounded sensor noise with output feedback.","PeriodicalId":366299,"journal":{"name":"2022 American Control Conference (ACC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC53348.2022.9867313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Inspired by the periodic swimming of many fish species, this paper presents a dynamic model of self-propelled particles with a periodic controller. The dynamics are split into a burst phase during which each particle applies a control input and a coast phase during which each particle performs state estimation. Using a closed-loop heading controller and a linear observer, we evaluate conditions that stabilize the equilibrium points for a single particle and for multiple particles using noise-free state feedback or output feedback. Practical stability bounds are evaluated for a single particle with bounded actuator noise with state feedback and bounded sensor noise with output feedback.