Authors: Rochdi Bachir Bouiadjra Mohamed Fayçal Khelfi Mohammed Salem Moussa Sedraoui
Publish Date: 2016/07/09
Volume: 39, Issue: 4, Pages: 1109-1118
Abstract
In this paper we solve the nonlinear H infty optimal control with output feedback via the neural network NN–least squares method for the affine nonlinear system The approach is based on successive approximate solution of two Hamilton–Jacobi–Isaacs HJI equations which appear in the H infty optimal output feedback control Successive approximation SA approach combined with neural network NN for updating control and disturbance inputs in the case of statefeedback control is first proposed to solve an HJI equation with two players The obtained solution is then used to solve with the SANN approach for updating disturbance input an HJI equation with one player in the output feedback control problem Simulations on the Translational oscillator with rotational actuator mechanical system are presented to illustrate the effectiveness of the proposed method
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