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In the upper layer for input design, the optimization of input intensities is obtained through stochastic global searching.
By applying rational experimental design, the optimization could be made more efficient and less time-consuming.
The separability analysis is thus used to design the optimization algorithm that addresses the needs of the problem.
To design the optimization algorithm, performance index and several constraints which are required for PMS are derived.
In the process of control design, the optimization approach and Lyapunov stability theory are used to determine the sliding surface of SMC and the control signal, respectively.
Compared to the preliminary design the optimization results show significant energy savings of about 30% in compression energy demand and 20% in columns reboiler duty demand.
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Design Expert 6.0.8 was used for designing the optimization model for this study.
In the minimum-order FIR and IIR designs, the optimization results in significant distortion in the passband frequency response which is compensated by FFT domain filtering.
J.B. and S.T.G. designed the optimization tool.
The first one is the design of the structure model and the second one is the design of the optimization technology.
After making this observation we can then reconsider the design of the optimization process and eliminate this parameter from the experiment.
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