After several years of efforts, constrained model predictive control (MPC), the de facto standard algorithm for advanced control in process industries, has finally succumbed to rigorous analysis. Yet successful practical implementations of MPC were already in place almost two decades before a rigorous stability proof for constrained MPC was published. What is then the importance of recent theor...

Most approaches of chance–constrained robust MPC utilise an open– loop model for uncertainty prediction; this results in conservative control. To avoid this some approaches propose robust MPC (RMPC) based on closed–loop prediction, and these often give improved dynamic performance at a small expense to constraint handling performance. The aim of this paper is to extend the methodology of (Warre...

This paper deals with a reusable simulation computer code (MPC@CB). The original program was developed under Matlab for single input single output (SISO) model predictive control (MPC) for any constrained optimization problem (trajectory tracking, processing time minimization...). The control structure is an adaptation of MPC with internal model control (IMC) structure. The algorithm was applie...