A variety of multiagent systems methods has been proposed for forming cooperatives of interconnected agents representing electricity producers or consumers in the Smart Grid. One major problem that arises in this domain is assessing participating agents uncertainty, and correctly predicting their future behaviour. In this paper, we adopt two stochastic filtering techniques —the Unscented Kalman...

A variety of multiagent systems methods has been proposed for forming cooperatives of interconnected agents representing electricity producers or consumers in the Smart Grid. One major problem that arises in this domain is assessing participating agents’ uncertainty, and correctly predicting their future behaviour regarding power consumption shifting actions. In this paper we adopt two stochast...

background : few studies have focused on syndromic data to determine levels of alarm thresholds to detection of meningitis outbreaks. the purpose of this study was to determine threshold levels of meningitis outbreak in hamadan province, west of iran . methods : data on both confirmed and suspected cases of meningitis (fever and neurological symptom) form 21 march 2010 to 20 march 2012 were use...

this paper is devoted to the study of determining optimal process mean in system production with the two markets for the sale of goods. in this paper, we developed an absorbing markov chain model in production systems where all items are inspected %100 for conformance with their specification limits. when the value of the quality characteristic of an item falls below a lower limit, the item is ...

the estimation of metallurgical parameters of flotation process from froth visual features is the ultimate goal of a machine vision based control system. in this study, a batch flotation system was operated under different process conditions and metallurgical parameters and froth image data were determined simultaneously. algorithms have been developed for measuring textural and physical froth ...

of The Master's Thesis The requirements for process automation systems have changed much since the adoption of automatic control. To survive in tightening global competition the developers of automation systems are introducing new tools to increase flexibility and fault-tolerance in process automation systems. This thesis proposes that agent technology as a new programming paradigm could be uti...

In this paper, we propose an aperiodic formulation of Model Predictive Control for distributed agents with additive bounded disturbances. In the proposed method, each agent solves an Optimal Control Problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over-usage of...