a fault-tolerant control (ftc) methodology has been presented for nonlinear processes being imposed by control input constraints. the proposed methodology uses a combination of feedback linearization and model predictive control (flmpc) schemes. the resulting constraints in the transformed process will be dependent on the actual evolving states, making their incorporation in the design context ...

by proposing a predictive method with no adjustable parameter and by using infinite dilution activity coefficients of components in binary mixtures obtained from unifac model, the binary interaction parameters (k12) in van der waals mixing rule (vdwmr) and orbey-sandler mixing rule (osmr) have been evaluated. the predicted binary interaction parameters are used in peng-robinson-stryjek-vera equ...

In this paper, a new incremental predictive guidance method based on implicit form of velocity to be gained algorithm is proposed. In this approach, the generalized incremental predictive control (GIPC) approach is applied to the linearized model for compensating the guidance error. Instead of using the present state in popular model based predictive controller (MPC), in the new method both pre...

the aim of this study was providing plant species predictive habitat models by using logisticregression method. for this purpose, study area conducted in north east rangelands of semnanmodeling vegetation data in addition to site condition in formation including topography, and soil wasprepared. sampling was done within each unit of sampling parallel transects and 1 vertical transectwith 750m l...

Many asset owners and maintainers have the ambition to better predict future state of their equipment make timely better-informed maintenance decisions. Although many methods support high-level policy selection are available, practitioners still often follow a costly trial-and-error process in selecting most suitable predictive method. To address lack decision this process, paper proposes frame...