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Since the city bus routes are predetermined, the speed profiles of the certain bus route do not make much difference, this indeed creates an opportunity to design a novel energy management strategy that can reduce the micro-controller resources usage and achieve close to optimal control performance.
Hence, the resource controller partitions resources as follows: begin{aligned} xa_{s,r,c}={xr}_{s,r,c}+Delta x_{r,c} frac{w_{s}}{sum _{i in L_{c}}{w_{i}}} end{aligned} (4) Where (Delta x_{r,c}) represents the extra resource capacity given by: begin{aligned} Delta x_{r,c} =1- sum _{i in L_{c}} {xr}_{i,r,c} end{aligned} (5).
This performance model is usually embedded within a runtime controller that controls resource allocations to the managed application so as to satisfy its SLO targets.
Also, the design is such that there is no use of any on-chip general purpose processor (GPP), external controller, hardware resources, or any high-level languages during the operation.
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The results can be applied to design digital controllers sharing resources, as it is the case of networked control systems, where the need of adapting the rate of task scheduling may originate significant sampling time variations.
A similar fuzzy controller for resource management has been suggested in [37] based on adaptive output amplification and flexible rule selection.
These devices can function with a CNC only when the controller's resource data model can represent their functionality.
This paper considers a multi-cell relay-aided orthogonal frequency division multiple access (OFDMA) downlink system, in which all stations are coordinated by a central controller for resource allocation (RA).
This paper considers multi-cell decode-and-forward (DF) relay-aided orthogonal frequency division multi-access (OFDMA) downlink systems, in which all sources and relays are coordinated by a central controller for resource allocation (RA).
Our scheme consists firstly of a hierarchical architecture based on message exchanges between Radio Resource Agent (RRA) at the Base Stations (BS) and Radio Resource Controller (RRC) which controls a cluster of BSs.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com