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A robust disturbance observer (DOB) based control structure is proposed.
When combined with single-state feedback AD, an improved zero-placement based control structure is obtained, as shown in Fig. 12.
Similar(58)
A model-based control structure is preferred in order to implement the posture control algorithm to the robot control.
A robust model-based control structure is suggested that includes a fuzzy-logic inverse dynamics model and several robust fuzzy control rules.
The proposed geometric APOD-based control structure is the combination of a nonlinear Luenberger-like geometric dynamic observer and a globally linearizing controller (GLC) designed for tracking the desired output.
A fuzzy logic system based control structure and adaptive algorithm suitable for driving non-linear feedforward active vibration control systems is presented in this paper.
Firstly, a single inverter-based DG model based on the cascaded control structure is developed.
In the case of uncertainties and/or disturbances, an inverse type-2 fuzzy model based nonlinear internal model control structure is proposed to compensate these errors.
So, temperature control by a robust neural fuzzy Petri net (RNFPN) controller based on an indirect forward control structure is proposed in this paper.
In this study, the methodology adopted to get a control structure is based on the experimental results.
The control structure is based on the inner adaptive three-order sliding-mode closed-loop, the immediate virtual output-impedance loop, and the outer power control loop.
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