Abstract Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on
accident reduction and more efficient use of travel time, with outstanding socio‐economic …

Model predictive control (MPC) theory has gained attention with the recent increase in the
processing power of computers that are now able to perform the needed calculations for this …

This paper presents a new path tracking scheme for a car-like mobile robot based on neural
predictive control. A multi-layer back-propagation neural network is employed to model non …

Recently, model predictive control (MPC) is increasingly applied to path tracking of mobile
devices, such as mobile robots. The characteristics of these MPC-based controllers are not …

When robots operate in real-world off-road environments with unstructured terrains, the
ability to adapt their navigational policy is critical for effective and safe navigation. However …

This article presents an extension to the nonlinear model predictive control (MPC) for
tracking scheme able to guarantee convergence even in cases of nonconvex output …

This paper presents a nonlinear model based predictive controller (NMPC) for trajectory
tracking of a mobile robot. Methods of numerical optimization to perform real time nonlinear …

This paper presents a nonlinear model‐based predictive controller (NMPC) for trajectory
tracking of a four‐wheeled omnidirectional mobile robot. Methods of numerical optimization …

Esta tesis se centra en la estabilidad y robustez de una técnica denominada genéricamente
control predictivo basado en modelo o MPC 1. Esta estrategia también se conoce como …

Autonomous navigation in unstructured environments is a challenging task due to the
complex and dynamic nature of robot-terrain interactions. Existing approaches often struggle …