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An optical sensor can be designed by utilizing the intrinsic property of certain analytes that interact with light.
Subsequently, we show that a user-interface and a user model without automation surprises can be designed by utilizing the bisimulation algorithm.
Considering the pH differences in the body, various drug delivery systems can be designed by utilizing smart biopolymeric compounds with the required pH-sensitivity.
Finally, we show that a user-interface and a user model without automation surprises can be designed by utilizing the bisimulation algorithm.
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The fuzzy controllers are designed by utilizing the Matlab's Fuzzy Logic Toolbox.
The sliding surface of each subsystem was designed by utilizing time-varying coefficients.
Next, a controller is designed by utilizing Small-gain Theorem based on a control oriented model.
An adaptive neural controller is designed by utilizing the approximation technique of neural network.
Then, a formation tracking controller is designed by utilizing generalized saturation functions to reduce the risk of actuator saturation.
Then, a saturated tracking controller is designed by utilizing generalized saturation functions to reduce the risk of actuator saturation.
The automatic image analysis system for scanning solid state nuclear track detectors is designed by utilizing a microdensitometer.
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