Adaptive predictive control of the benchmark plant

Tae Woong Yoon; David W. Clarke

doi:10.1016/0005-1098(94)90150-3

Adaptive predictive control of the benchmark plant

Tae Woong Yoon, David W. Clarke

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

Abstract

One of the main motives for adaptation is to design a high-performance controller for time-varying systems. The benchmark plant is a time-varying system whose behaviour is not known. This paper applies an adaptive predictive control scheme, based on CRHPC, to the benchmark plant using minimal prior information, and shows that the adaptive controller with appropriately chosen filters can cope well with time-variations.

Original language	English
Pages (from-to)	621-628
Number of pages	8
Journal	Automatica
Volume	30
Issue number	4
DOIs	https://doi.org/10.1016/0005-1098(94)90150-3
Publication status	Published - 1994 Apr
Externally published	Yes

Keywords

Adaptive control
benchmark plant
filtering
predictive control
recursive estimation
robustness
time-varying systems

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1016/0005-1098(94)90150-3

Cite this

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abstract = "One of the main motives for adaptation is to design a high-performance controller for time-varying systems. The benchmark plant is a time-varying system whose behaviour is not known. This paper applies an adaptive predictive control scheme, based on CRHPC, to the benchmark plant using minimal prior information, and shows that the adaptive controller with appropriately chosen filters can cope well with time-variations.",

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AU - Clarke, David W.

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AB - One of the main motives for adaptation is to design a high-performance controller for time-varying systems. The benchmark plant is a time-varying system whose behaviour is not known. This paper applies an adaptive predictive control scheme, based on CRHPC, to the benchmark plant using minimal prior information, and shows that the adaptive controller with appropriately chosen filters can cope well with time-variations.

KW - Adaptive control

KW - benchmark plant

KW - filtering

KW - predictive control

KW - recursive estimation

KW - robustness

KW - time-varying systems

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JO - Automatica

JF - Automatica

IS - 4

ER -

Adaptive predictive control of the benchmark plant

Abstract

Keywords

ASJC Scopus subject areas

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