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This paper presents a neural adaptive controller for a class of nonlinear system in the presence of input saturation and arbitrary unknown information by integrating the design framework of neural networks (NNs) with the dynamic surface control (DSC) and backstepping technique. NNs are directly used to deal with unknown nonlinear terms. By introducing a well-defined smooth function and a Nussbaum...
In order to handle the model uncertainty and the external disturbance, a robust attitude control method for helicopter robots is proposed in this paper. Unscented Kalman Filter (UKF) and backstepping technique are adopted in the attitude control design. Model-based backstepping control is presented to keep the desired helicopter attitude. UKF is employed for online estimation of both motion states...
It is quite challenging to synthesize control schemes for non-affine systems where the control inputs take their actions through a nonlinear and implicit way. This paper presents an overview on the latest developments in control of non-affine systems. Several typically utilized design tools and approaches for non-affine system control are summarized and discussed. Additional related issues in non-affine...
This paper proposes an unscented Kalman filter (UKF) based tracking controller to force underactuated nonlinear autonomous ships to follow a reference path under constant disturbances induced by wave, wind and ocean-current. The controller development is based on UKF and backstepping techniques. The UKF is used to update the estimation of the uncertain parameters online to avoid the parameters' drift...
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