Robust explicit/multi-parametric controllers are designed for constrained, linear discrete–time systems with box-constrained states and inputs, involving uncertainty in the left–hand side (LHS) of the Model Predictive Control (MPC) optimization model. Based on previous results, this work presents a new algorithm that features: (i) a dynamic programming reformulation of the MPC optimization, (ii...

This work presents a methodology to derive explicit control laws for hybrid linear systems. The proposed method employs multi-parametric and dynamic programming techniques to dissemble the original MPC formulation into a set of smaller problems, which can be efficiently solved using suitable multi-parametric mixed integer programming algorithms. The solution comprises the envelope of explicit p...

data envelopment analysis (dea) is a non-parametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and outputs. it is based on solving linear programming problems. since 1978 when basic dea model was introduced many its modifications were formulated. among them are two or multi-stage models with serial or parallel structure often called net...