A new neural network structure dedicated to the control of nonlinear systems

Abstract : In this communication is proposed a new neural network structure to design a robust controller for non-exactly known nonlinear systems. Based on input-output data, the neural network structure provides a global affine model of the controlled system which is compatible with well known nonlinear control techniques. An Affine Neural Tracking controller is developed and applied to an invertled pendulum submitted to random perturbations. The performance of the controller and the main advantage of the proposted approach are discussed.
Type de document :
Communication dans un congrès
MWSCAS 1995, 38th Midwest Symposium on Circuits and Systems, Aug 1995, Rio de Janeiro, Brazil. pp 433-436, 1995, 〈10.1109/MWSCAS.1995.504469〉
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https://hal-enac.archives-ouvertes.fr/hal-01022426
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Mora-Camino_MWSCAS1995.pdf
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Tsurng-Jehng Shen, Felix Antonio Claudio Mora-Camino, Karim Achaibou. A new neural network structure dedicated to the control of nonlinear systems. MWSCAS 1995, 38th Midwest Symposium on Circuits and Systems, Aug 1995, Rio de Janeiro, Brazil. pp 433-436, 1995, 〈10.1109/MWSCAS.1995.504469〉. 〈hal-01022426〉

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