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The functional link net approach to the learning of real-time optimal control

✍ Scribed by Yoh-Han Pao

Publisher
Elsevier Science
Year
1992
Weight
585 KB
Volume
17
Category
Article
ISSN
0066-4138

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✦ Synopsis

We present a strategy for learning optimal control. The approach uses functional-link neural network implementations which have several beneficial properties giving advantages over the more common generalized delta rule implementations. The learning task is decomposed onto three parts: identification and monitoring, one-stepahead control generation and control path optimization. Each of these parts is accomplished with its own functional-link net and these are coordinated to provide the real-time learning of the optimal control path.

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