Adaptive control using multiple models, switching and tuning

L. Giovanini; M. Benosman; A.W. Ordys

doi:10.1109/ICIECA.2005.1644345

Adaptive control using multiple models, switching and tuning

L. Giovanini, M. Benosman, A.W. Ordys

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

3 Citations (Scopus)

Abstract

The purpose of this paper is to marry the two concepts of multiple model adaptive control and safe adaptive control. In its simplest form, multiple model adaptive control involves a supervisory switching among one of a finite number of controllers as more is learnt about the plant, until one of the controllers is finally selected and remains unchanged. Safe adaptive control is concerned with ensuring that when the controller is changed the closed-loop is never unstable. This paper introduces a receding horizon multiple model, switching and tuning control scheme based on an on-line redesign of the controller. This control scheme has a natural two-stage adaptive control algorithm: identification of the closest model and design of the control law. The computational complexity aspects of this approach to adaptive control are discussed briefly. A nonlinear system is used to illustrate the ideas

Original language	English
Number of pages	8
DOIs	https://doi.org/10.1109/ICIECA.2005.1644345
Publication status	Published - 2005
Event	IEEE International Conference on Industrial Electronics and Control Applications - Quito, Ecuador Duration: 29 Nov 2005 → 2 Dec 2005

Conference

Conference	IEEE International Conference on Industrial Electronics and Control Applications
Abbreviated title	ICIECA 2005
Country/Territory	Ecuador
City	Quito
Period	29/11/05 → 2/12/05

Keywords

adaptive control
multiple models
switching
tuning

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10.1109/ICIECA.2005.1644345

Cite this

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title = "Adaptive control using multiple models, switching and tuning",

abstract = "The purpose of this paper is to marry the two concepts of multiple model adaptive control and safe adaptive control. In its simplest form, multiple model adaptive control involves a supervisory switching among one of a finite number of controllers as more is learnt about the plant, until one of the controllers is finally selected and remains unchanged. Safe adaptive control is concerned with ensuring that when the controller is changed the closed-loop is never unstable. This paper introduces a receding horizon multiple model, switching and tuning control scheme based on an on-line redesign of the controller. This control scheme has a natural two-stage adaptive control algorithm: identification of the closest model and design of the control law. The computational complexity aspects of this approach to adaptive control are discussed briefly. A nonlinear system is used to illustrate the ideas ",

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language = "English",

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T1 - Adaptive control using multiple models, switching and tuning

AU - Giovanini, L.

AU - Benosman, M.

AU - Ordys, A.W.

PY - 2005

Y1 - 2005

N2 - The purpose of this paper is to marry the two concepts of multiple model adaptive control and safe adaptive control. In its simplest form, multiple model adaptive control involves a supervisory switching among one of a finite number of controllers as more is learnt about the plant, until one of the controllers is finally selected and remains unchanged. Safe adaptive control is concerned with ensuring that when the controller is changed the closed-loop is never unstable. This paper introduces a receding horizon multiple model, switching and tuning control scheme based on an on-line redesign of the controller. This control scheme has a natural two-stage adaptive control algorithm: identification of the closest model and design of the control law. The computational complexity aspects of this approach to adaptive control are discussed briefly. A nonlinear system is used to illustrate the ideas

AB - The purpose of this paper is to marry the two concepts of multiple model adaptive control and safe adaptive control. In its simplest form, multiple model adaptive control involves a supervisory switching among one of a finite number of controllers as more is learnt about the plant, until one of the controllers is finally selected and remains unchanged. Safe adaptive control is concerned with ensuring that when the controller is changed the closed-loop is never unstable. This paper introduces a receding horizon multiple model, switching and tuning control scheme based on an on-line redesign of the controller. This control scheme has a natural two-stage adaptive control algorithm: identification of the closest model and design of the control law. The computational complexity aspects of this approach to adaptive control are discussed briefly. A nonlinear system is used to illustrate the ideas

KW - adaptive control

KW - multiple models

KW - switching

KW - tuning

UR - http://dx.doi.org/10.1109/ICIECA.2005.1644345

U2 - 10.1109/ICIECA.2005.1644345

DO - 10.1109/ICIECA.2005.1644345

M3 - Paper

T2 - IEEE International Conference on Industrial Electronics and Control Applications

Y2 - 29 November 2005 through 2 December 2005

ER -

Adaptive control using multiple models, switching and tuning

Abstract

Conference

Keywords

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