Concern regarding global change has increased the need to understand the relationship between fire regime characteristics and the environment. Pyrogeographical theory suggests that fire regimes are constrained by climate, vegetation and fire ignition processes, but it is not obvious how fire regime characteristics are related to those factors. We used a three-matrix approach with a multivariate...

The present sought to draw a comparison between Model Predictive Control performance and two other controllers named Simple PI and Selective PI in controlling large-scale natural gas transport networks. A nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in SIMULINK® environment of MATLAB®. Control schemes were designed to provide a s...

Model Predictive Control (MPC) is an advanced method of process control that has been in use in the process industry such as chemical plants and oil refineries since the 1980s. Model predictive controllers rely on dynamic models of the process, obtained by system identification. In this work a design approach for control of ventilation system in road tunnel by model predictive control algorithm...

Finite-control-set model predictive control (FCS-MPC) of multiphase ( n -phase, is assumed to be an odd number for simplicity) drives challenging because the large actual/virtual voltage vectors and need current in -1)/2 sub-spaces (or planes; multi-plane control). Any sub-optimal design (poor ...