Two-stage neural network architecture for feedback control of dynamic systems

Stephen M. Phillips, Christoph Müller-Dott

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In this paper we investigate system identification and the design of a controller using neural networks. A two-stage neural network design for controllers using single-layer structures with functional enhancements is introduced. This neural network architecture allows the design of a controller with less a priori knowledge about the plant as well as allowing for nonlinear plants. The paper also addresses the special characteristics and problems concerning the use of neural networks in control and demonstrates their performance by showing the successful implementation of a nonlinear control example via simulation.

Original languageEnglish (US)
Pages (from-to)353-365
Number of pages13
JournalAnalog Integrated Circuits and Signal Processing
Issue number4
StatePublished - Nov 1992
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Surfaces, Coatings and Films


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