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Fine tuning of control parameters, due to uncertainties inherent to modeling, still has to be performed on-line.
On the other hand, FNNC is proposed for conducting on-line tuning of control parameters to overcome model uncertainty.
The role of EA here is as a powerful tool for an optimal tuning of control technique input parameters.
A proper tuning of control parameter has been performed in order to achieve a balance between intensification and diversification phases.
Moreover, the approach used here is based on the Brayton-Moser framework which naturally renders the conditions of stability and tuning of control parameters.
A challenge in the control of civil structures exposed to multiple types of hazards is in the tuning of control parameters to ensure a prescribed level of performance under substantially different excitation dynamics, which could be considered as largely uncertain.
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The connection between the IPL and cerebellar regions suggests that the IPL may receive cerebellar error signals that support the rapid, continual fine-tuning of control settings and decision making.
The SIFLC offers significant reduction in rule inferences and simplifies the tuning process of control parameters.
Based on the above, a tuning method of control gain using GA is proposed herein.
This error depends on speed and acceleration; therefore it reduces the efficiency of the traction control system since it can be only partially compensated by an appropriate tuning of the control parameters.
At the same time, a new design procedure is proposed that consists of a fractional-order controller combined with a genetic algorithm for optimal tuning of the control parameters.
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