Robust state estimator design for systems with input-induced nonlinearities : an industrial printer case study

C. Cochior; P.P.J. Bosch, van den; S. Weiland

doi:10.1109/ICSTCC.2013.6688949

Robust state estimator design for systems with input-induced nonlinearities : an industrial printer case study

C. Cochior, P.P.J. Bosch, van den, S. Weiland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The research focuses on a state estimation problem for the paper path and heat flow control of industrial printers. The dynamics of industrial printers can be modeled with a system with input-induced nonlinearities. This model of the system switches in time with a parameter vector which is externally triggered. An important issue in the design of the state estimator involves the question as to what extend the stability and the performance of the estimated dynamics are robust against perturbations and uncertainties in the parameters of the system. For this class of systems we propose the design of an estimator based on an affine parameter dependent representation of the system with parametric uncertainties. The performance of the estimator is analyzed and the stability proven based on Lyapunov theory. Simulation examples show the effectiveness of the proposed approach in the presence of several arbitrary switches between modes.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on System Theory, Control and Computing (ICSTCC), October 11-13 2013, Sinaia, Romania
Pages	139-146
DOIs	https://doi.org/10.1109/ICSTCC.2013.6688949
Publication status	Published - 2013

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10.1109/ICSTCC.2013.6688949

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title = "Robust state estimator design for systems with input-induced nonlinearities : an industrial printer case study",

abstract = "The research focuses on a state estimation problem for the paper path and heat flow control of industrial printers. The dynamics of industrial printers can be modeled with a system with input-induced nonlinearities. This model of the system switches in time with a parameter vector which is externally triggered. An important issue in the design of the state estimator involves the question as to what extend the stability and the performance of the estimated dynamics are robust against perturbations and uncertainties in the parameters of the system. For this class of systems we propose the design of an estimator based on an affine parameter dependent representation of the system with parametric uncertainties. The performance of the estimator is analyzed and the stability proven based on Lyapunov theory. Simulation examples show the effectiveness of the proposed approach in the presence of several arbitrary switches between modes.",

author = "C. Cochior and {Bosch, van den}, P.P.J. and S. Weiland",

year = "2013",

doi = "10.1109/ICSTCC.2013.6688949",

language = "English",

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booktitle = "Proceedings of the 17th International Conference on System Theory, Control and Computing (ICSTCC), October 11-13 2013, Sinaia, Romania",

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Robust state estimator design for systems with input-induced nonlinearities : an industrial printer case study. / Cochior, C.; Bosch, van den, P.P.J.; Weiland, S.
Proceedings of the 17th International Conference on System Theory, Control and Computing (ICSTCC), October 11-13 2013, Sinaia, Romania. 2013. p. 139-146.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Weiland, S.

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Y1 - 2013

N2 - The research focuses on a state estimation problem for the paper path and heat flow control of industrial printers. The dynamics of industrial printers can be modeled with a system with input-induced nonlinearities. This model of the system switches in time with a parameter vector which is externally triggered. An important issue in the design of the state estimator involves the question as to what extend the stability and the performance of the estimated dynamics are robust against perturbations and uncertainties in the parameters of the system. For this class of systems we propose the design of an estimator based on an affine parameter dependent representation of the system with parametric uncertainties. The performance of the estimator is analyzed and the stability proven based on Lyapunov theory. Simulation examples show the effectiveness of the proposed approach in the presence of several arbitrary switches between modes.

AB - The research focuses on a state estimation problem for the paper path and heat flow control of industrial printers. The dynamics of industrial printers can be modeled with a system with input-induced nonlinearities. This model of the system switches in time with a parameter vector which is externally triggered. An important issue in the design of the state estimator involves the question as to what extend the stability and the performance of the estimated dynamics are robust against perturbations and uncertainties in the parameters of the system. For this class of systems we propose the design of an estimator based on an affine parameter dependent representation of the system with parametric uncertainties. The performance of the estimator is analyzed and the stability proven based on Lyapunov theory. Simulation examples show the effectiveness of the proposed approach in the presence of several arbitrary switches between modes.

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DO - 10.1109/ICSTCC.2013.6688949

M3 - Conference contribution

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BT - Proceedings of the 17th International Conference on System Theory, Control and Computing (ICSTCC), October 11-13 2013, Sinaia, Romania

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Robust state estimator design for systems with input-induced nonlinearities : an industrial printer case study

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