Nonlinear damping control for interconnected nonlinear systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Donghoon | - |
dc.contributor.author | Kim, Wonhee | - |
dc.contributor.author | Lee, Youngwoo | - |
dc.contributor.author | Chung, Chung Choo | - |
dc.date.accessioned | 2022-07-07T04:26:10Z | - |
dc.date.available | 2022-07-07T04:26:10Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2015-12 | - |
dc.identifier.issn | 0191-2216 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/143028 | - |
dc.description.abstract | In this paper, we propose enhanced nonlinear damping control for a class of singularly perturbed interconnected nonlinear systems (SPINSs). The proposed method transforms SPINS into a feedback connection of two subsystems. Then, nonlinear damping is implemented to improve the transient behavior of slow subsystem. The proposed method provides weighting factors for each tracking error, which enable the design of the energy function to shape the tracking performance for each state. We also design an augmented state observer to estimate unknown disturbances and unmeasurable states. Using a composite Lyapunov function, we prove that the origin of the tracking error dynamics is globally exponentially stable. It is also analyzed that the tracking errors are also globally uniformly ultimately bounded for a time-varying bounded disturbance. Simulations were performed to evaluate the tracking performance of the proposed method. Simulation results validate the effectiveness of the proposed method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Nonlinear damping control for interconnected nonlinear systems | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Chung Choo | - |
dc.identifier.doi | 10.1109/CDC.2015.7403430 | - |
dc.identifier.scopusid | 2-s2.0-84961988068 | - |
dc.identifier.bibliographicCitation | Proceedings of the IEEE Conference on Decision and Control, pp.7659 - 7664 | - |
dc.relation.isPartOf | Proceedings of the IEEE Conference on Decision and Control | - |
dc.citation.title | Proceedings of the IEEE Conference on Decision and Control | - |
dc.citation.startPage | 7659 | - |
dc.citation.endPage | 7664 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Errors | - |
dc.subject.keywordPlus | Lyapunov functions | - |
dc.subject.keywordPlus | Lyapunov methods | - |
dc.subject.keywordPlus | Nonlinear systems | - |
dc.subject.keywordPlus | Perturbation techniques | - |
dc.subject.keywordPlus | Transient analysis | - |
dc.subject.keywordPlus | Composite Lyapunov functions | - |
dc.subject.keywordPlus | Estimation errors | - |
dc.subject.keywordPlus | Globally exponentially stable | - |
dc.subject.keywordPlus | Globally uniformly ultimately bounded | - |
dc.subject.keywordPlus | Interconnected nonlinear systems | - |
dc.subject.keywordPlus | Observers | - |
dc.subject.keywordPlus | Shape | - |
dc.subject.keywordPlus | Tracking error dynamics | - |
dc.subject.keywordPlus | Damping | - |
dc.subject.keywordAuthor | Damping | - |
dc.subject.keywordAuthor | Estimation error | - |
dc.subject.keywordAuthor | Lyapunov methods | - |
dc.subject.keywordAuthor | Nonlinear systems | - |
dc.subject.keywordAuthor | Observers | - |
dc.subject.keywordAuthor | Shape | - |
dc.subject.keywordAuthor | Transient analysis | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7403430 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.