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Finally using the neural networks model of MCFC stack, the simulation results of the control algorithm are presented.
Finally, an optimal configuration is obtained with a lifetime of 20 years; also the results of the control algorithm based on the flatness properties obtained under Matlab/Simulink are given.
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The simulation results show the ability of the control algorithm to produce stable, high quality images even when the scene changes with time.
In particular the influence of a changing free stream velocity and the resulting off-design operation of the control algorithm is analyzed up to an unstable behavior.
The simulation results indicate that the control algorithm of the transmission system can improve the ride comfort and power performance of pure electric vehicle.
Simulation results and an experimental validation of the control algorithm on an a micro-canal platform are presented showing the effectiveness of the control law.
The experimental results present good accuracy and performance of the control algorithm.
The results verify the effectiveness and robustness of the control algorithm, and also provide a quantitative conclusion about the influence effect, which can be used in the design of a twin-winglet system.
Results indicate the effectiveness of the control algorithms and the proposed dynamic model.
The recursive methods offer several advantages: high accuracy can easily be achieved at low cost, parallel processing can be used, results are obtained under mild assumptions, and software and hardware implementation of the control algorithms is highly simplified.
The results of the paper show how to improve the control algorithm in real operation and how to use the proposed systematic approach for future tunnels.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com