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Network control is enhanced by adding radio environment intelligence to controllers.
Thus, a robust adaptive neural network control is added to the feedback linearization control to reduce the deviation.
In this paper,a trajtory tracking method based on the combination of fuzzy control and neural network control is proposed.We use the gauss function as fuzzy membership function and realize the fuzzy reasoning by neural network.
In this paper, a robust control method which combines fuzzy model-based control with adaptive neural network control is presented for a class of uncertain nonlinear system with multiple time-delay.
Although within SDN community, the notion of logically centralized network control is well understood and agreed upon, many different approaches exist on how one should deliver such a logically centralized view to multiple distributed controller instances.
Finally (and getting back to why it didn't offer a Verizon LTE version as it did with the Galaxy Nexus) Google says that politics surrounding LTE network control is a big problem.
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The functions of the network control are to detect an unauthorized access, to prevent network security from being breached, and finally, to respond to a breach thus the three categories of detect, prevent, and respond.
In this paper, adaptive neural-network control is designed for an n-DOF robotic manipulator system.
One of the breakthroughs in neural networks control is the introduction of adaptive algorithms for tuning the weighs of NNs [53].
These network controls are either software or hardware based and are implemented in a hierarchical structure to reflect the network organization.
To prevent malicious nodes from joining the sensor network, access control is required in the design of sensor network protocols.
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