Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Pablo Zometa"'
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
instname
Model predictive control (MPC) is an optimization-based strategy for high-performance control that is attracting increasing interest. While MPC requires the online solution of an optimization problem, its ability to handle multivariable systems and c
Publikováno v:
IFAC-PapersOnLine. 50:9827-9832
In many robotic applications, a predefined path must be followed while maintaining contact with a surface or applying a given force. If size, position, or flexibility of the surface are not known precisely, pure position tracking control of the robot
Publikováno v:
Annual Reviews in Control. 41:193-207
Today’s world is changing rapidly due to advancements in information technology, computation and communication. Actuation, communication, sensing, and control are becoming ubiquitous. These technological advancements have led to the widespread avai
Publikováno v:
IFAC-PapersOnLine. 48:322-331
Advances in communication, information technology, and computation have led to a rapid change of today’s world. Actuation, communication, sensing, and control are becoming ubiquitous. While this offers many possibilities - Smart cities, Smart build
Publikováno v:
ECC
The development of efficient solution approaches and technological advances facilitate the use of predictive control on embedded systems, even for fast systems or on computationally limited hardware platforms. The practical implementation of predicti
Publikováno v:
ECC
While by now efficient formulations and tailored solution approaches for nominal model predictive control exist, results for the uncertain case on embedded systems are less common. We consider stochastic model predictive control based on a polynomial
Publikováno v:
CDC
Assuming the probability distributions of the uncertainties to be known, we use polynomial chaos theory to propagate the uncertainty through the dynamics of a linear system in order to obtain explicit expressions of the mean and variance of the futur
Publikováno v:
CCA
Nowadays many robotic tasks require close and compliant tracking of desired positions, paths, or forces. To achieve these goals, model-based control schemes provide a possible solution, allowing to directly consider the nonlinear dynamics. One of the
Publikováno v:
ACC
Implementing linear model predictive controllers in embedded systems with limited computational resources is still challenging. Recently, several code generation tools have been developed that produce highly efficient library-free optimization algori
Publikováno v:
ACC
Scopus-Elsevier
Scopus-Elsevier
In this paper we discuss implementation related aspects of model predictive control schemes on embedded platforms. Exemparily we focus on fast gradient methods and present results from an implementation on an embedded lowcost ARM processor. We show t