robust control design of vehicles addresses the effect of uncertainties on the vehicle’s performance. in present study, the robust optimal multi-objective controller design on a non-linear full vehicle dynamic model with 8-degrees of freedom having parameter with probabilistic uncertainty considering two simultaneous conflicting objective functions has been made to prevent the rollover. the obj...

In this paper, we propose a robust delay estimation scheme for Internet multimedia applications. The proposed scheme adopts an autoregressive (AR) model for the delay process. The adopted AR model is a natural generalization of the Jacobson’s algorithm in TCP retransmission timeout (RTO) estimation. However, unlike fixed parameter values in the Jacobson’s algorithm, the parameters of the propos...

In engineering problems, randomness and uncertainties are inherent. Robust design procedures, formulated in the framework of multi-objective optimization, have been proposed in order to take into account sources of randomness and uncertainty. These design procedures require orders of magnitude more computational effort than conventional analysis or optimum design processes since a very large nu...

INTRODUCTION In the past decade signiicant research eeorts have been applied to develop robust algorithms using domain decomposition methods. From both a theoretical and a numerical point of view these methods can now be considered mature. For widespread use, these methods must be accessible to the non-specialist and thus must be available as black boxes. This paper addresses the issues faced w...

there are many real problems in which multiple responses should be optimized simultaneously by setting of process variables. one of the common approaches for optimization of multi-response problems is desirability function. in most real cases, there is a correlation structure between responses so ignoring the correlation may lead to mistake results. hence, in this paper a robust approach based ...

An integrated framework was employed to develop probabilistic floodplain maps, taking into account hydrologic and hydraulic uncertainties under climate change impacts. To the several scenarios representing individual compounding effects of models’ input parameters uncertainty were defined. Hydrologic model calibration validation performed using a Dynamically Dimensioned Search algorithm. A gene...

Data envelopment analysis (DEA) is one of non-parametric methods for evaluating efficiency of each unit. Limited resources in healthcare economy is the main reason in measuring efficiency of hospitals. In this study, a bootstrap interval data envelopment analysis (BIRDEA) is proposed for measuring the efficiency of hospitals affiliated with the Hamedan University of Medical Sciences. The propos...

Environmental pollution and emissions, along with the increasing production and distribution of goods, have placed the future of humanity at stake. Today, measures such as the extensive reduction in emissions, especially of CO2 and CO, have been emphasized by most researchers as a solution to the problem of environmental protection. This paper sought to explore production routing pro...