The design of advanced guidance and control (G&C) systems for space/aerospace vehicles
has received a large amount of attention worldwide during the last few decades and will …

This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

One of the motivations behind this book was to collect together the many results of the
Oxford University predictive control group. For this reason we have, rather unashamedly …

In this article, the problem of optimal time-varying attitude tracking control for rigid spacecraft
with system constraints and unknown additive disturbances is considered. Through the …

In this article, we present a nonlinear robust model predictive control (MPC) framework for
general (state and input dependent) disturbances. This approach uses an online …

While it has been repeatedly shown that learning-based controllers can provide superior
performance, they often lack of safety guarantees. This paper aims at addressing this …

Motivated by the fact that many nonlinear plants can be represented through Linear
Parameter Varying (LPV) embedding, and being this framework very popular for control …

Two robust model predictive control (MPC) schemes are proposed for tracking unicycle
robots with input constraint and bounded disturbances: tube-MPC and nominal robust MPC …

This paper develops a disturbance rejection model predictive control (MPC) scheme for
tracking nonholonomic vehicle with coupled input constraint and matched disturbances. Two …

This paper investigates adaptive model predictive control (MPC) for a class of constrained
linear systems with unknown model parameters. We firstly propose an online strategy for the …