Robust input disturbance suppression for nonlinear systems based on multiple model adaptive control

Steven W. Su; Brian D.O. Anderson; Thomas S. Brinsmead

Robust input disturbance suppression for nonlinear systems based on multiple model adaptive control

Steven W. Su^*, Brian D.O. Anderson, Thomas S. Brinsmead

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper, we make initial steps in the direction of nonlinear multiple model adaptive control by focusing on a contrived example in which an unknown parameter has a nominal value in one of the two intervals [-0.3, -0.1] and [0.1, 0.3] and can switch between them. The design should suppress a constant input disturbance. We discuss the use of a multi-estimator and multi-controller to achieve the goal, with the construction of the stable multi-estimator being based on stable kernel representation of the plant. Simulation results indicate that satisfactory performance is achieved.

Original language	English
Pages (from-to)	3047-3048
Number of pages	2
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	3
Publication status	Published - 2002
Event	41st IEEE Conference on Decision and Control - Las Vegas, NV, United States Duration: 10 Dec 2002 → 13 Dec 2002

Cite this

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title = "Robust input disturbance suppression for nonlinear systems based on multiple model adaptive control",

abstract = "In this paper, we make initial steps in the direction of nonlinear multiple model adaptive control by focusing on a contrived example in which an unknown parameter has a nominal value in one of the two intervals [-0.3, -0.1] and [0.1, 0.3] and can switch between them. The design should suppress a constant input disturbance. We discuss the use of a multi-estimator and multi-controller to achieve the goal, with the construction of the stable multi-estimator being based on stable kernel representation of the plant. Simulation results indicate that satisfactory performance is achieved.",

author = "Su, \{Steven W.\} and Anderson, \{Brian D.O.\} and Brinsmead, \{Thomas S.\}",

year = "2002",

language = "English",

volume = "3",

pages = "3047--3048",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0743-1546",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "41st IEEE Conference on Decision and Control ; Conference date: 10-12-2002 Through 13-12-2002",

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TY - JOUR

T1 - Robust input disturbance suppression for nonlinear systems based on multiple model adaptive control

AU - Su, Steven W.

AU - Anderson, Brian D.O.

AU - Brinsmead, Thomas S.

PY - 2002

Y1 - 2002

N2 - In this paper, we make initial steps in the direction of nonlinear multiple model adaptive control by focusing on a contrived example in which an unknown parameter has a nominal value in one of the two intervals [-0.3, -0.1] and [0.1, 0.3] and can switch between them. The design should suppress a constant input disturbance. We discuss the use of a multi-estimator and multi-controller to achieve the goal, with the construction of the stable multi-estimator being based on stable kernel representation of the plant. Simulation results indicate that satisfactory performance is achieved.

AB - In this paper, we make initial steps in the direction of nonlinear multiple model adaptive control by focusing on a contrived example in which an unknown parameter has a nominal value in one of the two intervals [-0.3, -0.1] and [0.1, 0.3] and can switch between them. The design should suppress a constant input disturbance. We discuss the use of a multi-estimator and multi-controller to achieve the goal, with the construction of the stable multi-estimator being based on stable kernel representation of the plant. Simulation results indicate that satisfactory performance is achieved.

UR - https://www.scopus.com/pages/publications/0036989841

M3 - Conference article

AN - SCOPUS:0036989841

SN - 0743-1546

VL - 3

SP - 3047

EP - 3048

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - 41st IEEE Conference on Decision and Control

Y2 - 10 December 2002 through 13 December 2002

ER -

Robust input disturbance suppression for nonlinear systems based on multiple model adaptive control

Abstract

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