Abstract
The aim of the present paper is to integrate a recurrent neural network in two schemes of real-time soft computing neural control. There are applied the following control schemes: an indirect and a direct trajectory tracking control, using the state and parameter information, given by an identification recurrent neural network.
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Baruch, I., Flores, J.M., Thomas, F., Garrido, R. (2001). Adaptive Neural Control of Nonlinear Systems. In: Dorffner, G., Bischof, H., Hornik, K. (eds) Artificial Neural Networks — ICANN 2001. ICANN 2001. Lecture Notes in Computer Science, vol 2130. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44668-0_128
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DOI: https://doi.org/10.1007/3-540-44668-0_128
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