This paper addresses the problem of controlling a nonlinear process when linear models have been identified at different operating points. A multimodel approach is used to to identify and contro l highly nonlinear process. The internal linear model representation of the nonlinear plant for conventional robust controller is replaced by the linear parameter varying (LPV) model, which introduces t...

The computationally most intensive process during a groundwater simulation is the solution of linear systems of equations. This can take more than 80 percent of the overall runtime. Hence, an efficient linear solver can save an enormous amount of runtime. However, it may strongly depend on the overall simulation environment which linear solver is the most efficient one for specific linear syste...

In many industrial applications, the quality of a process or product can be characterized by a function or profile. Autocorrelation between profiles is becoming increasingly common due to, for example, on-line data collection with high-frequency sampling. Therefore, the basic assumption of independent profiles for process capability analysis is not valid. This paper aims at evaluating the proce...

in this article effects of friction stir welding (fsw) tool rotational and traverse speeds were studied on heat generation and temperature distribution in welding zone of aa1100 aluminium alloy. computational fluid dynamics method was used to simulate the process with commercial cfd fluent 6.4 package. to enhance the accuracy of simulation in this study, the welding line that is located workpie...

in this paper‎, ‎strong convergence theorems of ishikawa type implicit iteration‎ ‎process with errors for a finite family of asymptotically‎ ‎nonexpansive in the intermediate sense and asymptotically‎ ‎quasi-pseudocontractive type mappings in normed linear spaces are‎ ‎established by using a new analytical method‎, ‎which essentially‎ ‎improve and extend some recent results obtained by yang‎ ‎...

Given a linear stationary non-Gaussian signal, suppose that we t a linear model using higher-order statistics and one of several existing methods. The model is tted under certain assumptions on the data and the underlying (true) model. Having obtained a model, how do we know if the tted model is \good?" This paper is devoted to the problem of model diagnostics and validation. We propose some si...

One of the most important prediction problems in finite population is the prediction of a linear function of characteristic values of a finite population. In this paper the admissibility of linear predictors of an arbitrary linear function of characteristic values in a finite population under reflected normal loss function is considered. Under the super-population model, we obtain the condition...