DESIGN OF ROBUST COMMAND TO LINE-OF-SIGHT GUIDANCE LAW: A FUZZY ADAPTIVE APPROACH

Lin “Direct adaptive fuzzy-neural control with state observer and supervisory controller for unknown nonlinear dynamical systems” IEEE Transactions on Fuzzy

It was presented three ways to work with the Fuzzy controller, namely: (a) Fuzzy supervisory controller of the gain matrix of the LQR control ( G ), (b) Fuzzy controllers in an

In this paper an adaptive fuzzy sliding mode controller is proposed to improve the performance of a pneumatic isolator in the low frequency range, i.e., where the passive

Figure 20 : Wheel set1 (a) WSPD input and (b) braking torque in the case of braking on wet rails and by employing the adaptive fuzzy sliding-mode controller. Figure 21 : Comparison

To enhance the tracking performance in- side the boundary layer, the adopted strategy embedded an adaptive fuzzy algorithm within the sliding mode controller for

This paper has presented a robust H ∞ fuzzy state- feedback control design for nonlinear positive HIV infection dynamic model.. This paper has developed a fuzzy controller for

To perceive the effectiveness of the control scheme proposed in this paper, we have simulated both the fuzzy logic controller and its optimization with the

[10] Yansheng Yang, Changjiu Zhou: Design of Fuzzy Adaptive Robust Control Algorithm via Small Gain Approach, Proceedings of the 2002 IEEE International Conference on