Tracking Control Based on Recurrent Neural Networks for Nonlinear Systems with Multiple Inputs and Unknown Deadzone
This paper deals with the problem of trajectory tracking for a broad class of uncertain nonlinear systems with multiple inputs each one subject to an unknown symmetric deadzone. On the basis of a model of the deadzone as a combination of a linear term and a disturbance-like term, a continuous-time r...
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Main Authors: | J. Humberto Pérez-Cruz, José de Jesús Rubio, E. Ruiz-Velázquez, G. Solís-Perales |
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Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2012/471281 |
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