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 …

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

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 …

Over the past decades, the advantages of optimization-based control techniques over
conventional controllers inspired developments that enabled the use of model predictive …

The idea of explicit model predictive control (MPC) is to characterize optimal control inputs
as an explicit piecewise affine (PWA) function of the initial conditions. The function, however …

A model predictive control law (MPC) is given by the solution to a parametric optimization
problem that can be precomputed offline, which provides an explicit map from state to input …

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 …

Explicit piecewise linear (PWL) state feedback laws solving constrained linear model
predictive control (MPC) problems can be obtained by solving multi-parametric quadratic …

One of the motivations behind this book was to collect together the many results of the
Oxford University predictive control group. For this reason we have, rather unashamedly …

Model predictive control (MPC) is a modern control scheme that relies on the solution of an
optimal control problem (OCP) on a receding horizon. MPC schemes have been developed …