the networked control system in modern control widely uses to decrease the implementation cost and increasing the performance. ncs in addition to its advantages is inevitable. nevertheless they suffer of some limitations and deficiencies. packet loss is one of the main limitations which affect the control system in different conditions and finally may lead to system instability. for this reason...

this paper deals with the design and evaluation of a robust controller for static var compensator (svc) in remote industrial power systems to enhance the voltage profile for three-phase single cage induction motor (scim) loads. the controller design is based on h∞ theory to deal with uncertainties arising in industrial network modelling. the performance of the h∞ controller has been evaluated e...

a common problem arising in project management is the fact that the baseline schedule is often disrupted during the project execution because of uncertain parameters. as a result, project managers are often unable to meet the deadline time of the milestones. robust project scheduling is an effective approach in case of uncertainty. upon adopting this approach, schedules are protected against po...

index tracking is the process of developing a portfolio that reproduces the performance of an index. the tracker portfolio has relatively good diversity and low turnover and low transaction costs. in this paper we applied a binary programming model for index tracking problem. in this model the number of assets for portfolio construction is defined by portfolio manager. the robust optimization f...

The concepts of robust classification and intelligently controlling the search process of genetic algorithm (GA) are introduced and integrated with a conventional genetic classifier for development of a new version of it, which is called Intelligent and Robust GA-classifier (IRGA-classifier). It can efficiently approximate the decision hyperplanes in the feature space. It is shown experime...

the mel frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. in this paper to achieve a satisfactorily performance in automatic speech recognition (asr) applications we introduce a noise robust new set of mfcc vector estimated through following steps. first, spectral mean normalization is a pre-processing which applies to t...