Accelerating linear model predictive control by constraint removal

A Linear Matrix Inequality (LMI) Approach to Robust Model Predictive Control (RMPC) Design in Nonlinear Uncertain Systems Subjected to Control Input Constraint

In this paper, a robust model predictive control (MPC) algorithm is addressed for nonlinear uncertain systems in presence of the control input constraint. For achieving this goal, firstly, the additive and polytopic uncertainties are formulated in the nonlinear uncertain systems. Then, the control policy can be demonstrated as a state feedback control law in order to minimize a given cost funct...

Robust Constrained Model Predictive Control by Linear Matrix Inequalities

Offset-Free Strategy by Double-Layered Linear Model Predictive Control

In the real applications, the model predictive control MPC technology is separated into two layers, that is, a layer of conventional dynamic controller, based on which is an added layer of steady-state target calculation. In the literature, conditions for offset-free linear model predictive control are given for combined estimator for both the artificial disturbance and system state , steady-st...

Model Based Predictive Control for Linear Systems

Linear Model Predictive Control via Multiparametric Programming

Linear systems with input, output, or state constraints are probably themost important class of systems in practice and the most studied as well. Although, a variety of control design methods have been developed for linear systems, it is widely accepted that stability and good performance for these systems, especially in the presence of constraints, is guaranteed with a nonlinear control law. T...