For the last 30 years the theory and technology of model predictive control (MPC) have been
developed rapidly. However, facing the increasing requirements on the constrained …

This book is a comprehensive introduction to model predictive control (MPC), including its
basic principles and algorithms, system analysis and design methods, strategy …

Explicit model predictive control (MPC) addresses the problem of removing one of the main
drawbacks of MPC, namely the need to solve a mathematical program on line to compute …

Nowadays, optimality is a major concern in modern controlled systems, and since optimality
generally steers the systems to the boundary of their admissible operational domain, no …

Many model predictive control (MPC) algorithms have been proposed in the literature
depending on the conditionality of the system matrix and the choice of its cost-function. This …

Modern Predictive Control explains how MPC differs from other control methods in its
implementation of a control action. Most importantly, MPC provides the flexibility to act while …

For discrete-time linear time-invariant systems with constraints on inputs and states, we
describe a method to determine explicitly, as a function of the initial state, the solution to …

A novel and easy-to-use robust tuning strategy for model predictive control (MPC) is
presented. The proposed strategy based on min-max algorithm can deal with model …

The past three decades have witnessed important developments in the theory and practice
of model predictive control (MPC). In particular, considerable effort has been devoted to …

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 …