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First, an effective and robust feedback controller is designed by nonlinear QFT to desensitize the force control loop to nonlinear servovalve flow/pressure effects and typical system uncertainties.
Spheric lens designed by nonlinear phase fitting method is proposed to duplicate the performance of logarithmic axicon, which can obtain a beam with long-focal-depth, small focal spot and side lobe.
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Moreover, an active controller is designed by the nonlinear decoupling method for the trajectory tracking for the system.
This asymmetrical phase change should be considered at oblique incidence, and various phase compensators and retarders can be designed by this nonlinear curved surface of phase shift.
The robust nonlinear controller is designed by combining the nonlinear PD (NPD) control with the robust dynamics compensation.
The controller has been designed by incorporating the nonlinear fuzzy logic control.
The proposed method is based on an adaptive observer scheme designed by applying general nonlinear ideas to the qLPV systems.
The proposed control method is firstly designed by using a nonlinear simulation model built in Matlab Simulink and then implemented in a practical test rig.
The kernel of this active fault tolerant control consists of the fault detection and diagnosis module designed by using the nonlinear geometric approach.
Additionally, in order to extract the texture features effectively, a comprehensive texture descriptor is designed by integrating the nonlinear compact multi-scale structure tensor (NCMSST) and total variation flow (TV-flow).
The regulator is designed by embedding the (possible nonlinear) internal model of the fault.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com