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A direct adaptive neural control scheme with integral terms

โœ Scribed by Ieroham S. Baruch; Ruben Garrido


Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
523 KB
Volume
20
Category
Article
ISSN
0884-8173

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โœฆ Synopsis


A direct adaptive neural control scheme with single and double integral-plus-state (IPS) actions is proposed. The control scheme contains two recurrent trainable neural network (RTNN) models, which are a plant parameter identifier and state estimator, an IPS feedback /feedforward controller, and one or two I-terms. The good performance of the adaptive IPS control scheme is confirmed by closed-loop systems analysis and by simulation results obtained with a MIMO plant, corrupted by noise.


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