Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …

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 …

Receding Horizon Control introduces the essentials of a successful feedback strategy that
has emerged in many industrial fields: the process industries in particular. Receding horizon …

This article discusses the existing linear model predictive control concepts in a unified
theoretical framework based on a stabilizing, infinite horizon, linear quadratic regulator. In …

Abstract Model predictive control algorithms achieve offset‐free control objectives by adding
integrating disturbances to the process model. The purpose of these additional disturbances …

A receding horizon Kalman FIR filter is presented that combines the Kalman filter and the
receding horizon strategy when the horizon initial state is assumed to be unknown. The …

The hexapod manipulator is the most common motion platform, which is widely used as a
simulation-based motion platform (SBMP). As the hexapod manipulator has a limited …

In this paper, a new stabilizing receding horizon control, based on a finite input and state
horizon cost with a finite terminal weighting matrix, is proposed for time-varying discrete …

Modern Predictive Control explains how MPC differs from other control methods in its
implementation of a control action. Most importantly, MPC provides the flexibility to act while …

Abstract Model predictive control (MPC), also referred to as moving horizon control or
receding horizon control, has become an attractive feedback strategy, especially for linear or …