Buscar
Mostrando ítems 11-20 de 35
Ponencia
Computationally efficient stochastic MPC: A probabilistic scaling approach
(Institute of Electrical and Electronics Engineers. IEEE, 2020-09)
In recent years, the increasing interest in Stochastic model predictive control (SMPC) schemes has highlighted the limitation arising from their inherent computational demand, which has restricted their applicability to ...
Ponencia
A Prediction approach to introduce dead-time process control in a basic control course
(Elsevier, 2006)
This paper presents a methodology to introduce the control of dead-time processes using a simple and intuitive predictive approach. A trivial solutionfor the control of a process with a dead-time is first proposed. From ...
Ponencia
Covariance control for discrete-time stochastic switched linear systems
(Elsevier, 2022)
This paper deals with the covariance control for discrete-time linear switched systems affected by additive stochastic noises. Given any periodic stabilizing switching law for the deterministic system associated to the ...
Ponencia
Enlarging the domain of attraction of MPC controller using invariant sets
(Elsevier, 2002)
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The useful way of guaranteeing stability of nonlinear MPC is to add a terminal constraint and a terminal cost ...
Ponencia
Min-Max Predictive Control of a Pilot Plant using a QP Approach
(Institute of Electrical and Electronics Engineers (IEEE), 2008)
The practical implementation of min-max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by using approximate solutions or upper bounds ...
Ponencia
An iterative design method for Coalitional control networks with constraints on the shapley Value
(Elsevier, 2014)
In this work, we introduce a new iterative design method for a coalitional control scheme for linear systems recently proposed. In this scheme, the links in the network infrastructure are enabled or disabled depending on ...
Ponencia
Robust stability of min-max MPC controllers for nonlinear systems with bounded uncertainties
(2004)
The closed loop formulation of the robust MPC has been shown to be a control technique capable of robustly stabilize uncertain nonlinear systems subject to constraints. Robust asymptotic stability of these controllers has ...
Ponencia
Multi-Vehicle System Localization by Distributed Moving Horizon Estimation over a Sensor Network with Sporadic Measurements
(Elsevier, 2022)
This paper proposes a Distributed Moving Horizon Estimator (DMHE) for the Multi-Vehicle system localization problem using Sensor Networks with sporadic measurements. Due to its capability to efficiently exploit environmental ...
Ponencia
Control predictivo basado en datos
(Servicio de Publicaciones de la Universidad de Oviedo, 2017)
Este artículo presenta el diseño estabilizante de un controlador predictivo a partir únicamente de datos de entrada-salida de un sistema a controlar. El modelo que incluye este controlador es una función no lineal estimada ...
Ponencia
A probabilistic validation approach for penalty function design in stochastic model predictive control
(Elsevier B.V., 2020)
In this paper, we consider a stochastic Model Predictive Control able to account for effects of additive stochastic disturbance with unbounded support, and requiring no restrictive assumption on either independence nor ...