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Finally, computational optimization may be necessary for very large networks; one such approach may be to identify viable interacting partners based on limit cycle synchrony (see e.g. Table 4) prior to the combinatorial evaluation of node pairs for the complex rule modifications given in Table 2.
We conclude that architectures based on limit cycle maps can be organized to function effectively as neural controllers.
Obtaining the parameters for PID controllers based on limit cycle information for the process in a relay controlled feedback loop has become an accepted practical procedure.
While the results presented here are only first steps, they establish the viability of SOM models based on limit cycle activity patterns, and suggest that such models merit further study.
Inspired by the oscillatory nature of cerebral cortex activity, we recently proposed and studied self-organizing maps (SOMs) based on limit cycle neural activity in an attempt to improve the information efficiency and robustness of conventional single-node, single-pattern representations.
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Based on the limit cycle data, a diagonal TITO transfer function model of the system dynamics are obtained.
The objective function is the so-called Specific Cost of Transportation and the restrictions of the problem are based on the Limit Cycle Walking stability criterion.
The reactive obstacle avoidance strategy is based on the limit-cycle approach [2].
The estimation of the controlled process is based on an asymmetrical limit cycle data experiment.
The endurance limit was established based on 1 million cycles limit and it was found to be 0.65σct, 0.70σct and 0.71σct, respectively for the three modes of failure.
Based on the cycle of conflict over the past 10 years, they are preparing for another war.
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