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Time optimal control using CMAC neural networks

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2 Author(s)
L. G. Kraft ; Dept. of Electr. Eng., New Hampshire Univ., Durham, NH, USA ; D. Dietz

A particular form of neural network called CMAC has been shown to have many characteristics well-suited to real time control problems. In this paper, the CMAC concept is applied to a time optimal control problem. An example system (DC servomotor) is analyzed using both simulation and real-time laboratory experiments. The neural network based controller is capable of handling both linear and nonlinear systems, is very efficient in real-time operation and the results extend to higher order systems.

Published in:

American Control Conference, 1994  (Volume:3 )

Date of Conference:

29 June-1 July 1994