This paper presents a Distributed NMPC approach for the problem of Dynamic Obstacle
Avoidance based on Laguerre Polynomials combined with potential fields. The proposed …

Kautz parametrization of the Model Predictive Control (MPC) method has shown its ability to
reduce the number of decision variables in Linear Time Invariant (LTI) systems. This paper …

The computational burden of an optimization problem plays an important role in real-time
implementation of model predictive control (MPC) on fast sampling power electronic …

This article introduces a predictive controller applied to a robotic therapy device. The
research focuses on developing a Model-based Predictive Controller (MPC) while …

This paper demonstrates the efficacy of alternative parameterisations of the degrees of
freedom within a robust MPC algorithm. Alternative parameterisations have been shown to …

In this paper, we introduced and explored the Laguerre and Kautz functions as an
orthonormal functions based of model predictive control approach for automotive …

Planetary precision landing in non-cooperative sites has been a major challenge. An indoor
novel planetary precision landing facility known as Surrey Precision Landing Facility (SPLF) …

Neste trabalho é apresentado uma nova forma de sintonizar controladores PIDOF robustos
com a propriedade de amortecimento iso ou do inglês iso-damping, utilizando algoritmos de …

Abstract Model based predictive control (MPC) is well established and has gained
widespread acceptance in the industry and the academic community. The success of earlier …

This paper reviews triple mode predictive control for linear time invariant systems and
considers the analogies with new approaches to conventional dual mode MPC algorithms …