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PIC16F84A drives the motor by the designed circuit drive.
The disturbances are estimated by the designed disturbance observer.
The DH of the AuNP is also strongly dominated by the designed Spacers, reflecting characteristic molecular interactions under an environmental condition.
The frequency and duty ratio of pulsed voltage can be adjusted by the designed control circuit.
The heat of formation (HOF) is predicted by the designed isodesmic reactions.
The formalized alternatives provide precise information about fields, farms and areas concerned by the designed changes.
The ranking order of alternatives is generated by the designed preference degree algorithm.
Simulation results show that satisfactory performance can successfully achieved by the designed control system.
It is shown that satisfactory performance is achieved by the designed optimal grey-fuzzy control scheme.
Firstly, the captured image is modeled and filtered by the designed frequency domain filter.
The formation mechanism of the composite was investigated by the designed time-dependent experiments.
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