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The Potential Fields-based control model was proposed in two stages.
The control model is based on the rule-based look-ahead model proposed by Beskow [16], but modified for low-latency operation.
Our control model is based on a fuzzy logic control.
The resource control model is based on a set of requirements, where portability is very significant, as well as a natural integration with the existing programming model.
As indicated in the textbox on the right, the control model is based on the stimulus without any processing of the OSN (dashed magenta line).
A coordinate control model is proposed based on multibody theory through adoption of artificial potential fields.
Firstly, the state space form control model is formulated based on the complex mode theory.
Control gains in the repulsive force control model are selected based on traditional control design and genetic algorithms.
The operation modes of the DBI are analyzed and a third- order control model is derived based on the analysis.
The position control model is deduced based on a single stand cold rolling mill, and the fuzzy controller for monitor AGC system is designed.
Then, BTP predictive control model is established based on GPC algorithm to predict BTP accurately and to calculate the strand velocity.
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