in this paper, we obtain  bayesian prediction intervals as well as bayes predictive estimatorsunder square error loss for generalized order statistics when the distribution of the underlying population belongs to a family which includes several important distributions.

In this paper, a hardware in the loop simulation (HIL) is presented. This application is purposed as the first step before a real implementation of a Generalized Predictive Control (GPC) on a micro-grid system located at the Military University Campus in Cajica, Colombia. The designed GPC, looks for keep the battery bank State of Charge (SOC) over the 70% and under the 90%, what ensures the bes...

The bilinear Generalized predictive controller is modified to account for unmodelled plant uncertainties and bounded disturbances. First, a generalized predictive control law is derived by means of minimizing a quadratic cost function and then modified by introducing an estimate of the modeling error as a feedback. The robustness results are derived by neither requiring a prior knowledge of the...

the efficiency of induction motors decreases at light loads. efficiency optimizer control systemsadjust the motor flux value to achieve the best efficiency in a wide range of load variations. reduced fluxoperation has some other benefits such as power factor improvement and torque ripple reduction. the latter isan important issue in a direct torque controlled induction motor drive. in this pape...

Aiming at the compensation problem of random time-delay in networked control system, a new network time-delay compensation method based on improved fast implicit generalized predictive control (GPC) is proposed. The buffer is established respectively including the forward output, feedback input of controller and the input of actuator, the network induced time-delay is compensated, and it will a...

Model predictive control has proved its effectiveness in many industrial applications. Predictive algorithms are available in various commercial control packages but their implementation costs could be considerable. Control of industrial processes is often realized using small industrial controllers that offer only simple control structures, like PID control loop. The aim of the paper is to der...

In this paper, Generalized Predictive Control (GPC) based on a Fuzzy Logic model is illustrated. The control technique is then applied to a selected nonlinear application to show the performance of the Fuzzy-Based Generalized Predictive Control (FGPC). The results of the presented FGPC method are compared with standard GPC and Proportional-Integral-Derivative Control (PID). The results revealed...