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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Adsadang Himakalasa | en_US |
dc.contributor.author | Suttida Wongkaew | en_US |
dc.date.accessioned | 2022-10-16T07:08:28Z | - |
dc.date.available | 2022-10-16T07:08:28Z | - |
dc.date.issued | 2021-01-01 | en_US |
dc.identifier.issn | 10990526 | en_US |
dc.identifier.issn | 10762787 | en_US |
dc.identifier.other | 2-s2.0-85115032194 | en_US |
dc.identifier.other | 10.1155/2021/5545551 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85115032194&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/76332 | - |
dc.description.abstract | The Cucker and Smale model is a well-known flocking model that describes the emergence of flocks based on alignment. The first part focuses on investigating this model, including the effect of time delay and the presence of a leader. Furthermore, the control function is inserted into the dynamics of a leader to drive a group of agents to target. In the second part of this work, leadership-based optimal control is investigated. Moreover, the existence of the first-order optimality conditions for a delayed optimal control problem is discussed. Furthermore, the Runge-Kutta discretization method and the nonlinear conjugate gradient method are employed to solve the discrete optimality system. Finally, the capacity of the proposed control approach to drive a group of agents to reach the desired places or track the trajectory is demonstrated by numerical experiment results. | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Multidisciplinary | en_US |
dc.title | Optimal Control through Leadership of the Cucker and Smale Flocking Model with Time Delays | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Complexity | en_US |
article.volume | 2021 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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