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Then we (i) linearize this method, and (ii) Fourier-analyze the linearized method to theoretically predict its convergence properties.
The design of PID controllers use (i) optimization techniques based on Modulus Optimum method and (ii) pole cancellation method with imposing an "optimum" value for the phase margin.
where, there are two key points concerning i) the control of iteration step with double Dogleg method and ii) the update strategy of trust region radius.
The modelling principles the group has successfully used are based on (i) the single-point observation method and (ii) treating friction and wear as initial-value processes.
Long term thermal power plant operation performance monitoring depending on (i) accuracy and precision of steady state identification method and (ii) fitness approximation per process variable versus mean value active power.
Further, we have taken two important factors into consideration in fabrication, (i) facile in situ fabrication method, and (ii) desired composition of the active oxide phase on a porous current collector.
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The system, which incorporates time-dependent data, is composed of two main modules: (i) an effective ground surface estimation using a piecewise plane fitting algorithm and RANSAC-method, and (ii) a voxel-grid model for static and moving obstacles detection using discriminative analysis and ego-motion information.
Efficiency methods are divided into: (i) dimensionality reduction-based methods and (ii) clustering-based algorithms.
The methods relate to the use of (i) computer-based visualization methods and (ii) demonstration forests and landscape laboratories.
The experiments carried out in this work are twofold: (i) using and comparing diverse Artificial Intelligence methods, and (ii) validating our approach with data sources integration.
In summary, we were able to (i) demonstrate the capability of our method by reproduction of published and unpublished data obtained with alternative methods and (ii) identify novel imbalances that were not shown before.
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