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Finally, the advantages of the proposed method and the performance of the designed controller are validated by the numerical simulation.
The stability of the closed-loop system is proven via the Lyapunov method and the performance of the expected effects is verified in simulation.
Via the commercial CAD package Pro/Engineering, numerical simulation is carried out to test the validity of the parametric modeling method and the performance of the machine tool.
The tuning method is based on a two-degree-of-freedom internal model control (IMC) design method, and the performance of the resulting PID controller is related to two tuning parameters thus detuning is easy when necessary.
In order to verify the soundness of this method and the performance of the apparatus, the experimental results for the solubilities of sodium chloride at 673 K were compared with the literature data.
Then, the dynamic model of the driving element is established by using the Lagrange method and the performance of the designed payload-platform is further discussed through the combination of the controlled auto regressive moving average (CARMA) model with modified generalized prediction control (MGPC) algorithm.
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The performance of the DTC method is superior to the performance of the AITC method.
Simulations and applications demonstrate the performance of the methods.
After presenting the models and methods, we discuss empirical evidence on the performance of the methods.
Experimental results comparing the performance of the RF supertree method to MRP and triplet supertree methods.
Then the performance of the method is evaluated only on the held-out test set.
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