Multiphase Adaptive Control based on Strong Robustness

M. Cadic; J.W. Polderman

Multiphase Adaptive Control based on Strong Robustness

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

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Abstract

Most adaptive control systems have been derived from the certainty equivalence principle: at each new iteration of the design, a model of the plant is obtained from the previous model, and a new controller is designed on the basis of this updated model. Unfortunately, in case the uncertainty about the system parameters is too large, the stability of the real plant controlled by the model-based controller can not be guaranteed. However, if the uncertainty about the true system is such that no matter where we believe that the true system is and no matter where it actually is, the controller based on the model stabilizes the actual plant, then we can safely apply a certainty equivalence type of strategy.

Original language	English
Title of host publication	21st Benelux Meeting on Systems and Control, March 19 – 21, 2002, Veldhoven, The Netherlands
Subtitle of host publication	Book of Abstracts
Editors	Bram de Jager, Hans Zwart
Place of Publication	Eindhoven
Publisher	Technische Universiteit Eindhoven
Pages	76-76
Number of pages	1
ISBN (Print)	90-386-2893-5
Publication status	Published - 2002
Event	21st Benelux Meeting on Systems and Control 2002 - Veldhoven, Netherlands Duration: 19 Mar 2002 → 21 Mar 2002 Conference number: 21

Conference

Conference	21st Benelux Meeting on Systems and Control 2002
Country	Netherlands
City	Veldhoven
Period	19/03/02 → 21/03/02

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Cite this

@inproceedings{783074861883411e969815daca4db766,

title = "Multiphase Adaptive Control based on Strong Robustness",

abstract = "Most adaptive control systems have been derived from the certainty equivalence principle: at each new iteration of the design, a model of the plant is obtained from the previous model, and a new controller is designed on the basis of this updated model. Unfortunately, in case the uncertainty about the system parameters is too large, the stability of the real plant controlled by the model-based controller can not be guaranteed. However, if the uncertainty about the true system is such that no matter where we believe that the true system is and no matter where it actually is, the controller based on the model stabilizes the actual plant, then we can safely apply a certainty equivalence type of strategy.",

author = "M. Cadic and J.W. Polderman",

year = "2002",

language = "English",

isbn = "90-386-2893-5",

pages = "76--76",

editor = "{de Jager}, Bram and Hans Zwart",

booktitle = "21st Benelux Meeting on Systems and Control, March 19 – 21, 2002, Veldhoven, The Netherlands",

publisher = "Technische Universiteit Eindhoven",

note = "21st Benelux Meeting on Systems and Control 2002 ; Conference date: 19-03-2002 Through 21-03-2002",

}

Cadic, M & Polderman, JW 2002, Multiphase Adaptive Control based on Strong Robustness. in B de Jager & H Zwart (eds), 21st Benelux Meeting on Systems and Control, March 19 – 21, 2002, Veldhoven, The Netherlands: Book of Abstracts. Technische Universiteit Eindhoven, Eindhoven, pp. 76-76, 21st Benelux Meeting on Systems and Control 2002, Veldhoven, Netherlands, 19/03/02.

Multiphase Adaptive Control based on Strong Robustness. / Cadic, M.; Polderman, J.W.

21st Benelux Meeting on Systems and Control, March 19 – 21, 2002, Veldhoven, The Netherlands: Book of Abstracts. ed. / Bram de Jager; Hans Zwart. Eindhoven : Technische Universiteit Eindhoven, 2002. p. 76-76.

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

TY - GEN

T1 - Multiphase Adaptive Control based on Strong Robustness

AU - Cadic, M.

AU - Polderman, J.W.

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PY - 2002

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N2 - Most adaptive control systems have been derived from the certainty equivalence principle: at each new iteration of the design, a model of the plant is obtained from the previous model, and a new controller is designed on the basis of this updated model. Unfortunately, in case the uncertainty about the system parameters is too large, the stability of the real plant controlled by the model-based controller can not be guaranteed. However, if the uncertainty about the true system is such that no matter where we believe that the true system is and no matter where it actually is, the controller based on the model stabilizes the actual plant, then we can safely apply a certainty equivalence type of strategy.

AB - Most adaptive control systems have been derived from the certainty equivalence principle: at each new iteration of the design, a model of the plant is obtained from the previous model, and a new controller is designed on the basis of this updated model. Unfortunately, in case the uncertainty about the system parameters is too large, the stability of the real plant controlled by the model-based controller can not be guaranteed. However, if the uncertainty about the true system is such that no matter where we believe that the true system is and no matter where it actually is, the controller based on the model stabilizes the actual plant, then we can safely apply a certainty equivalence type of strategy.

M3 - Conference contribution

SN - 90-386-2893-5

SP - 76

EP - 76

BT - 21st Benelux Meeting on Systems and Control, March 19 – 21, 2002, Veldhoven, The Netherlands

A2 - de Jager, Bram

A2 - Zwart, Hans

PB - Technische Universiteit Eindhoven

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