Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
This work explores a link between chaotic signals and the selection ofcontrolled variables for plantwide control system design. Some results areshown for the Tennessee Eastman plant, which is well-known for being achallenging process in the field of plant-wide control. This article provides asystema...
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2021 |
| Country: | Argentina |
| Institution: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repository: | CONICET Digital (CONICET) |
| Language: | English |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/167486 |
| Online Access: | http://hdl.handle.net/11336/167486 |
| Access Level: | Open access |
| Keyword: | Control Chaos Plantwide Eastman https://purl.org/becyt/ford/2.11 https://purl.org/becyt/ford/2 |
| Summary: | This work explores a link between chaotic signals and the selection ofcontrolled variables for plantwide control system design. Some results areshown for the Tennessee Eastman plant, which is well-known for being achallenging process in the field of plant-wide control. This article provides asystematic, data-driven method to select which variables should be controlled.However, since plantwide control problems are inherently complex, this workdoes not intend to provide a definite solution, but a complementary analysis totake into account towards the final control system design. The discussionhighlights the potential hidden in the chaos theory to reduce the complexity ofthe resulting control system. |
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