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In this paper we present the Python LTE Software (PyLTEs), which is a open-source framework for performance evaluation and optimization of the configuration of LTE networks deployment. It allows to define the geographic location of cells, eNodeB configuration such as e.g. TX Power and spatial distribution of the clients. The soft-frequency reuse schemes are supported, as well as different schedulers...
The following topics are dealt with: control theory; nonlinear systems; complexity theory; system theory; distributed parameter systems; stabilization; large scale systems; stochastic systems; system modeling; system identification; hybrid systems; optimal control; optimization; scheduling; robust control; adaptive control; learning control; variable structure control; and neural control.
Local model networks, also known as Takagi-Sugeno neuro-fuzzy systems, have become an increasingly popular nonlinear model architecture. Usually the local models are linearly parameterized and those parameters are typically estimated by some least squares approach. However, widely different strategies have been pursued for the partitioning of the input space which determines the validity regions of...
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