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Regulation of unknown nonlinear dynamical systems via dynamical neural networks

✍ Scribed by George A. Rovithakis; Manolis A. Christodoulou


Publisher
Springer Netherlands
Year
1995
Tongue
English
Weight
690 KB
Volume
12
Category
Article
ISSN
0921-0296

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In this paper, we prove that any finite time trajectory of a given n-dimensional dynamical system can be approximately realized by the internal state of the output units of a continuous time recurrent neural network with n output units, some hidden units, and an appropriate initial condition. The es