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The complexity, scale and dynamic of data source in the human-centric computing bring great challenges to maintainers. It is problem to be solved that how to reduce manual intervention in large scale human-centric computing, such as cloud computing resource management so that system can automatically manage according to configuration strategies. To address(More)
In the paper, a new kind of adaptive neural network control approach for a class of stochastic nonlinear system which in the form of non-strict-feedback is presented. Some difficulties, which occurred in the course of designing due to the non-strict-feedback structure, is overcomed by using the variable separation approach. A new kind of adaptive neural(More)
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