No abstract

Manufacturing grid has become more and more popular because it can realize the resource share and collaboration within the worldwide scope. In most cases, the resource and task information in manufacturing grid is fuzzy and uncertain, but the resource-searching methods now are focused on deterministic value and have some limitations for manufacturing grid. This paper proposes a unified information model in which the information parameters are described as a set of interval values, and the conversion rules from the given capability parameters into intervals are discussed. On these bases, a new optimized resource-searching method is designed to find the best required manufacturing resource for the task by calculating the interval distance of the task and the resources. The method is verified to be effective by an instance. Furthermore, it is practical by comparing it with other resource-searching methods.

No abstract

The resource selection and optimization is the key point in the application of manufacturing grid. The limitation of the existing manufacturing resource finding methods is analyzed in this paper. Based on mathematical description of the resource selection process, a GA-based optimize model is proposed and its algorithm is designed. Finally, a typical instance is illustrated to validate the model and algorithm.

This paper investigates the problem of finite frequency (FF)H∞filtering for time-delayed singularly perturbed systems. Our attention is focused on designing filters guaranteeing asymptotic stability and FFH∞disturbance attenuation level of the filtering error system. By the generalized Kalman-Yakubovich-Popov (KYP) lemma, the existence conditions of FFH∞filters are obtained in terms of solving an optimization problem, which is delay-independent. The main contribution of this paper is that systematic methods are proposed for designingH∞filters for delayed singularly perturbed systems.