Linear matrix inequalities tool to design predictive model control for greenhouse climate

Robust Constrained Model Predictive Control by Linear Matrix Inequalities

Finite Horizon Robust Model Predictive Control Using Linear Matrix Inequalities

In this paper, we develop a finite horizon model predictive control algorithm which is robust to model uncertainties. A moving average system matrix is constructed to capture model uncertainties and facilitate future output predictions. The paper is focused on step tracking control. Using linear matrix inequality techniques, the design is converted into a semi-definite optimization problem. Clo...

Robust constrained model predictive control using linear matrix inequalities,

The primary disadvantage of current design techriiques for xriodel predictive control (MPC) is their inability to deal explicitly with plant model uncertainty. In this paper, we present a new approacli for robust MPC synthesis which allows explicit irlcorporation of the description of pla,nt uricertainty in the problem formulation. The uncertainty is expressed both in the time domain and the fr...

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...

Automatic Offline Formulation of Robust Model Predictive Control Based on Linear Matrix Inequalities Method

and Applied Analysis 3 The input and output constraints are satisfied if there exists symmetric matrixX and Y such that [ X ∗ Y T Q ] ≥ 0 with X rr ≤ u 2 r,max, r = 1, 2, . . . , m,