IDEALS Home University of Illinois at Urbana-Champaign logo The Alma Mater The Main Quad

Emulating human process control functions with neural networks

Show full item record

Bookmark or cite this item:

Files in this item

File Description Format
PDF 9401931.pdf (6MB) Restricted to U of Illinois (no description provided) PDF
Title: Emulating human process control functions with neural networks
Author(s): Hall, James William
Doctoral Committee Chair(s): Lu, S.
Department / Program: Engineering, AgriculturalEngineering, MechanicalArtificial Intelligence
Discipline: Engineering, AgriculturalEngineering, MechanicalArtificial Intelligence
Degree Granting Institution: University of Illinois at Urbana-Champaign
Degree: Ph.D.
Genre: Dissertation
Subject(s): Engineering, Agricultural Engineering, Mechanical Artificial Intelligence
Abstract: This investigation demonstrates that neural networks can perform some of the tasks in controlling complex systems that have been traditionally reserved for humans. Neural networks can be used to fuse different types of knowledge from many sources into a general process model. This technique allows process models to be formed for systems that are too complex to be modeled with conventional tools. By adding relatively few local measurements, a general process model can be calibrated into a numerically accurate local model of the process. This local model can then used for steady-state process optimization. The architectures and training techniques needed to produce neural networks capable of performing these functions are discussed. This technology was applied to the control of a complex system--a grain harvesting combine. Field tests of the harvesting process under neural network control demonstrated that the controller was robust and capable of exceeding the performance of expert human operators.
Issue Date: 1992
Type: Text
Language: English
Rights Information: Copyright 1992 Hall, James William
Date Available in IDEALS: 2011-05-07
Identifier in Online Catalog: AAI9401931
OCLC Identifier: (UMI)AAI9401931

This item appears in the following Collection(s)

Show full item record

Item Statistics

  • Total Downloads: 2
  • Downloads this Month: 0
  • Downloads Today: 0


My Account


Access Key