Sanz Diaz, R.; García Gil, PJ.; Fridman, E.; Albertos Pérez, P. (2020). Robust Predictive Extended State Observer for a Class of Nonlinear Systems with Time-Varying Input Delay. International Journal of Control. 93(2):217-225. https://doi.org/10.1080/00207179.2018.1562204
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/147746
Title:
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Robust Predictive Extended State Observer for a Class of Nonlinear Systems with Time-Varying Input Delay
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Author:
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Sanz Diaz, Ricardo
García Gil, Pedro José
Fridman, Emilia
Albertos Pérez, Pedro
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
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Issued date:
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Abstract:
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[EN] This paper deals with asymptotic stabilisation of a class of nonlinear input-delayed systems via dynamic output feedback in the presence of disturbances. The proposed strategy has the structure of an observer-based ...[+]
[EN] This paper deals with asymptotic stabilisation of a class of nonlinear input-delayed systems via dynamic output feedback in the presence of disturbances. The proposed strategy has the structure of an observer-based control law, in which the observer estimates and predicts both the plant state and the external disturbance. A nominal delay value is assumed to be known and stability conditions in terms of linear matrix inequalities are derived for fast-varying delay uncertainties. Asymptotic stability is achieved if the disturbance or the time delay is constant. The controller design problem is also addressed and a numerical example with an unstable system is provided to illustrate the usefulness of the proposed strategy.
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Subjects:
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Time-varying delay
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Nonlinear systems
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Output feedback
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Robust control
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Linear matrix inequality
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Copyrigths:
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Reserva de todos los derechos
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Source:
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International Journal of Control. (issn:
0020-7179
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DOI:
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10.1080/00207179.2018.1562204
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Publisher:
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Taylor & Francis
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Publisher version:
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https://doi.org/10.1080/00207179.2018.1562204
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Project ID:
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UPV/FPI-2014
ISF/1128/14
MINECO/TIN2017-86520-C3-1-R
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Thanks:
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This work was partially supported by: Ministerio de Economía y Competitividad, Spain (TIN2017-86520-C3-1-R); Universitat Politècnica de València (FPI-UPV 2014 PhD Grant); and Israel Science Foundation (Grant No. 1128/14).[+]
This work was partially supported by: Ministerio de Economía y Competitividad, Spain (TIN2017-86520-C3-1-R); Universitat Politècnica de València (FPI-UPV 2014 PhD Grant); and Israel Science Foundation (Grant No. 1128/14).
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Type:
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Artículo
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