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Based on this ranking an efficient control structure with least complexity for stabilizing control is detected which leads to a decentralized proportional controller.
This intuitive assumption was also validated with empirical evidence using the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) to select the model which gives best fit with least complexity [number of states].
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To deal with BoT applications, scheduling and resource discovery algorithms are designed with the least complexity possible.
The results indicate that the proposed approach can help design automation logics with the least complexity and compare alternatives that meet the requirements during initial design stages.
Especially, the "turn-off" fluorescence PLSDA model based on second-order derivatives (2nd der) with reduced least complexity (LVs = 3) was the most effective one for modeling.
Another important finding of the paper is that for specific applications where all of the response parameters are desired to be minimized simultaneously, DVAs designed per velocity criteria provide the best overall performance with the least complexity in the design equations.
It also has been seen that the "constant fusion" method present least complexity with largest waste of radar resource.
Hence, the key factor to success in forecasting the financial time series is designing an ANN that has the least complexity with only relevant and most influential features (Atsalakis and Valavanis 2009).
Of the eight primary functional categories examined at the secondary level, FunCat 11 (Transcription) exhibited the least complexity, with 72.75 standardized functional assignments of ESTs in three subcategories, primarily RNA synthesis (11.02, 86.25%), RNA processing (11.04, 11.00%) and RNA modification (11.06, 2.75%).
The results showed that the Sequential Quadric Programming (SQP) method provides the highest accuracy and least complexity compared with the Particle Swarm Optimization and Genetic Optimization methods.
Notably, the proposed LS frequency tracking with ML channel estimation has the least complexity, while the LMMSE algorithm has the heaviest load of mathematical operations.
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