The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Neural-net computing and the intelligent control of systems
Abstract
In this article, we are concerned with neural-nets which can learn to control systems in accordance with a guiding intent, and can also learn how to formulate that control strategy or intent. The overall task of systems control is viewed as being carried out by four components, these being the predictive monitoring net, the control action generator net, the objective function net and the optimization net. This approach and perspective are described and illustrated in this article. In our examples, we show that systems identification can indeed be achieved in the presence of noise and that optimal control can be formulated in a learning mode, by neural nets.
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Cites
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Identification and control of dynamical systems using neural networks
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“Neural” computation of decisions in optimization problems
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Adaptive filtering prediction and control
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Cited by
Stochastic choice of basis functions in adaptive function approximation and the functional-link net
Igelnik, B., & Pao, Y.-H. (1995) · IEEE Transactions on Neural Networks · doi:10.1109/72.471375 · Cited by 955
Self-citationUniversal Approximation Capability of Broad Learning System and Its Structural Variations
Chen, C. L. P., Liu, Z., & Feng, S. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2866622 · Cited by 549
A comprehensive evaluation of random vector functional link networks
Zhang, L., & Suganthan, P. N. (2016) · Information Sciences · doi:10.1016/j.ins.2015.09.025 · Cited by 465
Azlan Hussain, M. (1999) · Artificial Intelligence in Engineering · doi:10.1016/s0954-1810(98)00011-9 · Cited by 381
Metadata
- Authors
- PAO, Y.-H., PHILLIPS, S. M., & SOBAJIC, D. J.
- Venue
- International Journal of Control
- Publisher
- Informa UK Limited
- Published
- 1992-08
- Volume
- 56
- Issue
- 2
- Pages
- 263-289
- ISSN
- 0020-7179 (ISSN-L)
- 1366-5820
- OpenAlex
- W1988224834
- Cited by
- 307
- References
- 34
- FWCI
- 11.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- PAO, Y.-H., PHILLIPS, S. M., & SOBAJIC, D. J. (1992). Neural-net computing and the intelligent control of systems. International Journal of Control. https://doi.org/10.1080/00207179208934315
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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