Abstract─ While linear model predictive control is popular since the 70s of the past century,
only since the 90s there is a steadily increasing interest from control theoreticians as well as …

While linear model predictive control is popular since the 70s of the past century, the 90s
have witnessed a steadily increasing attention from control theoretists as well as control …

Linear model predictive control (LMPC) is well established as the industry standard for
controlling constrained multivariable processes. A major limitation of LMPC is that plant …

The past three decades have seen rapid development in the area of model predictive control
with respect to both theoretical and application aspects. Over these 30 years, model …

Abstract Nonlinear Model Predictive Control (NMPC), a strategy for constrained, feedback
control of nonlinear processes, has been developed. The algorithm uses a simultaneous …

Model Predictive Control (MPC) is an area in rapid development with respect to both
theoretical and application aspects. The former petrochemical applications of MPC were …

The nonlinear model predictive control (NMPC) is an on-line application based on nonlinear
convolution models. It is an appealing control methodology, but it is difficult to implement …

Abstract Model Predictive Control (MPC) originated in the late seventies and has developed
considerably since then. The term Model Predictive Control does not designate a specific …

Nonlinear model predictive control (NMPC) has gained widespread attention due to its
ability to handle variable bounds and deal with multi-input, multi-output systems. However, it …

Abstract Model predictive control (MPC), also referred to as moving horizon control or
receding horizon control, has become an attractive feedback strategy, especially for linear or …