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The performance of the controller was evaluated by means of the Control Variability Grid Analysis (CVGA) giving excellent results.
The controller was evaluated with an eight-shaped curve, showing the stability of the controller even with sharp changes in the human path during real experiments.
The proposed controller was evaluated experimentally by using a typical sharp-corner trajectory, and its performance was compared with that of conventional controllers.
Secondly, the proposed event-based controller was evaluated in an experimental greenhouse, located in southeast of Spain, in real operation conditions.
The performance of the proposed controller was evaluated by conducting computer simulations and a hardware-in-the-loop simulation (HILS) under various steering conditions.
This robust closed-loop controller was evaluated in comparison with a heuristically tuned proportional-derivative-integral (PID) controller using a simulated surgical procedure on 44 patients whose PK and PD models were identified using real clinical data.
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The control performance of the proposed controller is evaluated using frequency-domain analysis and time-domain simulation of the large-scale notional MVDC shipboard power system using the Real-Time Digital Simulator.
Considering this IAE based index as the performance measure of PI/PID control loops, the effectiveness of the controller is evaluated and tested on different types of unstable first order or second order plus time delay processes.
This controller is evaluated and compared with other recently published control techniques.
The results of the robust controller were evaluated and examined in Matlab by stability & control quality measurements, simulation and in-vehicle tests, and are compared to the results from an experimentally tuned controller using a 2nd order compensator.
The proposed fuzzy logic controller is evaluated by computer simulation.
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