基于神经网络控制的系统分类

1994 Proceedings of IEEE International Conference on Control and Applications Pub Date : 1994-08-24 DOI:10.1109/CCA.1994.381234

M. Agarwal

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引用次数: 152

摘要

涉及神经网络的丰富多样的控制方案，在文献中提出的作品，被组织成一个一致的视角，隔离每个方案的各种不同的特征，并将它们分类在一个多层次的结构中。所提出的结构提供了对过去和新的控制方案的连贯和明确的分析，揭示了相关的联系和差距作为副产品，并有助于更好地集中未来的研究。

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A systematic classification of neural-network-based control

The rich variety of control schemes involving neural networks, works which are proposed in the literature, is organised into a consistent perspective that isolate the various distinct features of each scheme and classifies them in a multi-level structure. The presented structure affords coherent and unambiguous analysis of past and new control schemes, reveals relevant links and gaps as by-products, and serves to better focus future research.<>

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1994 Proceedings of IEEE International Conference on Control and Applications

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