Intelligent scheduling and optimisation for resource-constrained networks

Intelligent scheduling and optimisation for resource-constrained networks

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In control network with resources constraints, there is an unavoidable tradeoff between the quality of control (QoC) and requirement of bandwidth (RoB) in order to optimise the performance of control system. To address the impact of this contradiction, two intelligent and optimal scheduling strategies, which are respectively based on fuzzy logic control technique and neural network, are employed by a bandwidth scheduler according to corresponding dynamic resource allocation approach. In order to guarantee the system's stability, the lower and upper bounds of the assignable bandwidth are evaluated in terms of linear matrix inequalities and the resource constraints, respectively. In addition, the normalisable criterions of QoC and RoB are also defined, which can estimate the performance of the whole networked control systems. Preliminary simulations show that the proposed strategies can save significant bandwidth and simultaneously improve overall control performance in comparison with the fixed bandwidth allocation and optimal bandwidth allocation in the literatures.


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