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Moreover, the results show that the λ based controller is superior to the r based controller.
Moreover, the system performance analysis under different operating conditions show that the δE based controller is superior to both the mB based controller and conventional power system stablizer.
Moreover, the system performance analysis under different operating conditions shows that the φ based controller is superior to the C based controller.
Moreover, the system performance analysis under different operating conditions show that the δE based controller is superior to the mB based controller.
Comparison with other multivariable controllers shows that the designed ETF based controller is superior with respect to design-complexity and obtained performance.
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Moreover, the system performance analysis under different operating conditions show that the δE based damping controller is superior to the mB based damping controller.
Experimental results show that in comparison with a conventional fuzzy-logic-based controller, the proposed controller is superior in performance.
However, the nominal performance of the geometric controller is superior to that of conventional PI control.
The PI controller is superior to the PD controller.
The plant performance of the proposed cascade controller is superior to the conventional decentralized controller in the AAO process.
Although it was perhaps not surprising that the controller was superior to a low-rate steady crystalloid infusion, this was nevertheless an essential step in the development of the algorithm.
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