dc.citation.conferencePlace |
FR |
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dc.citation.endPage |
6494 |
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dc.citation.startPage |
6489 |
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dc.citation.title |
IFAC 2017 World Congress |
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dc.contributor.author |
Nandiganahalli, J.S. |
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dc.contributor.author |
Kwon, Cheolhyeon |
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dc.contributor.author |
Hwang, I. |
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dc.date.accessioned |
2023-12-19T18:38:08Z |
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dc.date.available |
2023-12-19T18:38:08Z |
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dc.date.created |
2019-07-25 |
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dc.date.issued |
2017-07-09 |
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dc.description.abstract |
This paper presents an integrated control design approach for a class of dynamical systems that satisfy a certain matching condition subject to known input time-delay, unknown parameters, and time-varying disturbances, simultaneously. A novel nonlinear predictor adaptive robust control (PARC) is proposed to track a desired state trajectory. The controller uses predictor-based model compensation to attenuate the effect of input time-delay, gradient type projection with prediction-based learning mechanisms to reduce the parameter uncertainties, and prediction-based nonlinear robust feedback to attenuate the effect of model approximation errors and disturbances, simultaneously. The controller guarantees a prescribed transient performance (with global exponential convergence) and final steady-state tracking error with an ultimate bound proportional to the time-delay, the disturbances, and the switching gain. The effectiveness of the proposed control design is illustrated with a simple tumor growth example. |
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dc.identifier.bibliographicCitation |
IFAC 2017 World Congress, pp.6489 - 6494 |
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dc.identifier.doi |
10.1016/j.ifacol.2017.08.1046 |
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dc.identifier.issn |
2405-8963 |
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dc.identifier.scopusid |
2-s2.0-85031780591 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/34917 |
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dc.identifier.url |
https://www.sciencedirect.com/science/article/pii/S240589631731532X?via%3Dihub |
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dc.language |
영어 |
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dc.publisher |
Elsevier B.V. |
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dc.title |
Prediction-based Adaptive Robust Control for a Class of Uncertain Time-delay Systems |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-07-09 |
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