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Abstract NEURAL NETS AS SYSTEMS MODELS AND CONTROLLERS ∗ (2008)

Abstract
This paper briefly surveys some recent results relevant to the suitability of “neural nets ” as models for dynamical systems as well as controllers for nonlinear plants. In particular, it touches upon questions of approximation, identifiability, construction of feedback laws, classification and interpolation, and computational capabilities of nets. No discussion is included of “learning ” algorithms, concentrating instead on representational issues. 1.

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Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.9875
Source http://www.math.rutgers.edu/~sontag/FTP_DIR/yale.pdf
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Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.38.4197, 10.1.1.62.6437, 10.1.1.55.6575, 10.1.1.48.3536, 10.1.1.18.1816