A direct adaptive neural control scheme with integral terms
โ 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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โฆ 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.
๐ SIMILAR VOLUMES
In this paper, we present two on-line adaptive control algorithms for non-linear plants using neural networks. The architecture used is based on the concept of specialized learning, which was first proposed by Psaltis et al. and suffers from two main problems, namely lack of knowledge of the plant J