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Multi-rate model predictive control of a chemical reactor based on three neural models

Paper ID Volume ID Publish Year Pages File Format Full-Text
4791 245 2007 12 PDF Available
Title
Multi-rate model predictive control of a chemical reactor based on three neural models
Abstract

This paper describes a multi-rate model predictive control for a chemical reactor rig. Three multi-input single-output neural network models are developed with different sampling times; each for one reactor output. A multi-rate control strategy is proposed based on the multi-rate models, which enables reduced dimension optimisations to be used in majority of searching for optimal controls. In addition, some practical control techniques are also applied. Effectiveness of the proposed method is evaluated by both simulations and on-line control. A comparison with three decentralised PID controllers is presented.

Keywords
Multi-rate control; Non-linear model predictive control; Adaptive neural networks; Chemical reactors; On-line implementation
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Multi-rate model predictive control of a chemical reactor based on three neural models
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 37, Issue 1, 15 October 2007, Pages 86–97
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us