DESIGN OF ROBUST GAIN-SCHEDULED MPC CONTROLLERS FOR NONLINEAR PROCESSES

A methodology is proposed for the analysis and design of a robust gain-scheduled Model predictive Controllers (MPC) for nonlinear chemical processes. The stability and performance tests can be formulated as a finite set of linear matrix inequalities (LMI). A simulation study of a 2x2 system indicates that this approach can provide useful robust controllers, which guarantee closed-loop robust stability and performance.