Model predictive control is a form of control in which the current control action is obtained by
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …

Model predictive control is a form of control in which the current control action is obtained by
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …

Controlling a system with control and state constraints is one of the most important problems
in control theory, but also one of the most challenging. Another important but just as …

Studies on the theory of model predictive control include the assumption that the origin is in
the interior of the feasible region (that is, the inequality constraints are not active at steady …

Two different predictive control formulations are developed based on minimization of the
worst-case quadratic cost for systems with bounded parameters. The two formulations differ …

This paper deals with the robustness of Model Predictive Controllers for constrained
uncertain nonlinear systems. The uncertainty is assumed to be modeled by a state and input …

Min-max feedback formulations of model predictive control are discussed, both in the fixed
and variable horizon contexts. The control schemes the authors discuss introduce, in the …

Practical difficulties involved in implementing stabilizing model predictive control laws for
nonlinear systems are well known. Stabilizing formulations of the method normally rely on …

Saša V. Rakovic William S. Levine Editors Page 1 Control Engineering Saša V. Rakovic William
S. Levine Editors Handbook of Model Predictive Control Page 2 Page 3 Control Engineering …

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