Trajectory Free Linear Model Predictive Control for Stable Walking in the Presence of Strong Perturbations

The paper is devoted to the proof of an important theorem for the development of control: the closed loop stability of control laws that are calculated in the framework of model-

Multisample delays: large delays and packet dropouts In this subsection, we extend the robustness problem for- mulation for a different class of dynamical systems, that is to

In Chapter 1, after having covered common notions of probability and aspects of statistical inference, we described the calibration problem as an optimisation problem by introducing

For the internal faults x ge , x gc and x gb for which the scenarios are such that safety is not ensured through- out the time horizon considered (the essential demand is not

A standard solution for this issue is to use tighter constraints by introducing some hand tuned safety margins, for the reference motion generation to ensure that the actual

We have proposed a Newton method which provides fea- sible iterates, always satisfying the nonlinear constraint (6), for a Nonlinear MPC scheme generating walking motions

Abstract— The goal of this paper is to present a new real- time controller based on linear model predictive control for an omnidirectionnal wheeled humanoid robot. It is able to

Stabilization of the Capture Point Dynamics for Bipedal Walking based on Model Predictive Control.. Manuel Krause, Johannes Englsberger, Pierre-Brice Wieber,