CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Model predictive control of a CSTR: A comparative study among linear and nonlinear model approaches
Authors
,
A Krishnan
+4 more
KV Ling
J Maciejowski
PSV Nataraj
BV Patil
Publication date
14 September 2016
Publisher
2017 Indian Control Conference, ICC 2017 - Proceedings
Doi
Cite
Abstract
© 2017 IEEE. This paper presents a comparative study of two widely accepted model predictive control schemes based on mixed logical dynamical (MLD) and nonlinear modeling approaches with application to a continuous stirred tank reactor (CSTR) system. Specifically, we approximate the nonlinear behavior of a CSTR system with multiple local linear models in a MLD framework. The main benefit of such a scheme is the significant improvement in model accuracy when compared with a single linearized model. The benefits and trade-offs associated with predictive control laws synthesized using MLD and nonlinear modeling approaches are also compared.National Research Foundation, Singapore
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
CUED - Cambridge University Engineering Department
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:generic.eprints.org:889108...
Last time updated on 15/07/2020
Sustaining member
Apollo (Cambridge)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:www.repository.cam.ac.uk:1...
Last time updated on 12/01/2019