Intelligent Control

Intelligent control is a class of control techniques, that use various AI or soft computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms.

Some sample results are highlighted below:

• Intelligent control based on an artificial neural network

Industrial Disk Grinding Process	Intelligent control scheme utilizing an ANN model
Implementation results of the intelligent controller

• Self-tuning fuzzy controller based on fuzzy logic for a grinding process

Self-tuning fuzzy controller	Intelligent control scheme for a creep feed grinding process
Implementation results of the intelligent controller	Performance summary

• State observer design using a radial basis function neural network

See the publications related to Intelligent Control.

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© 2000 Purdue ME Manufacturing Laboratories
Last modified by Brian Bolek, 26 February 2000.