Model-free adaptive process control

Details Model-free adaptive process control Model-free adaptive process control

1997-10-06

2000-04-25

Hafiz, Tariq R.

Data processing: artificial intelligence

Neural network

Learning task

706 14, 706 15, G06N 304

Patent

active

060555246

ABSTRACT:
A model-free adaptive controller is disclosed, which uses a dynamic artificial neural network with a learning algorithm to control any single-variable or multivariable open-loop stable, controllable, and consistently direct-acting or reverse-acting industrial process without requiring any manual tuning, quantitative knowledge of the process, or process identifiers. The need for process knowledge is avoided by substituting 1 for the actual sensitivity function .differential.y(t)/.differential.u(t) of the process.

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Lewis, Frank L., Neural Network Control of Robot Manipulators, IEEE Expert, pp. 64-75, Jun. 1996.

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