This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as Mixed Logical Dynamical (MLD)â€¦ (More)

For discrete-time linear time invariant systems with constraints on inputs and states, we develop an algorithm to determine explicitly, the state feedback control law which minimizes a quadraticâ€¦ (More)

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 newâ€¦ (More)

We propose a new technique for the identification of discretetime hybrid systems in the Piece-Wise Affine (PWA) form. The identification algorithm proposed in [9] is first considered and thenâ€¦ (More)

More than 15 years after model predictive control (MPC) appeared in industry as an effective means to deal with multivariable constrained control problems, a theoretical basis for this technique hasâ€¦ (More)

This paper gives an overview of robustness in Model Predictive Control (MPC). After reviewing the basic concepts of MPC, we survey the uncertainty descriptions considered in the MPC literature, andâ€¦ (More)

In this paper we prove, in a constructive way, the equivalence between hybrid and piecewise afine systems. By focusing our investigation on the latter class, we show through counterexamples thatâ€¦ (More)

We study model predictive control (MPC) schemes for discrete-time linear time-invariant systems with constraints on inputs and states, that can be formulated using a linear program (LP). Inâ€¦ (More)