SISO extended predictive control - Formulation and the basic algorithm

M. Abu-Ayyad; R. Dubay; G. C. Kember

doi:10.1016/S0019-0578(07)60061-5

SISO extended predictive control - Formulation and the basic algorithm

M. Abu-Ayyad, R. Dubay, G. C. Kember

School of Science, Engineering & Technology (Harrisburg)

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

13 Scopus citations

Abstract

A new predictive controller is developed that represents a significant change from conventional model predictive control. The method termed extended predictive control (EPC) uses one tuning parameter, the condition number of the system matrix to provide an easy-to-follow tuning procedure. EPC drastically improves the system matrix conditionality resulting in faster closed-loop response without oscillatory transients. The control performance of EPC is compared with the original move suppressed and recently derived shifted predictive controllers, with improved results.

Original language	English (US)
Pages (from-to)	9-20
Number of pages	12
Journal	ISA Transactions
Volume	45
Issue number	1
DOIs	https://doi.org/10.1016/S0019-0578(07)60061-5
State	Published - Jan 2006

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Instrumentation
Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1016/S0019-0578(07)60061-5

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author = "M. Abu-Ayyad and R. Dubay and Kember, {G. C.}",

note = "Funding Information: The authors acknowledge the Natural Sciences and Engineering Research Council of Canada for the financial support of this research.",

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SISO extended predictive control - Formulation and the basic algorithm

Abstract

All Science Journal Classification (ASJC) codes

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