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Mostrando ítems 1-10 de 90
Artículo
Chance-constrained sets approximation: A probabilistic scaling approach
(Elsevier, 2022-03)
In this paper, a sample-based procedure for obtaining simple and computable approximations of chance-constrained sets is proposed. The procedure allows to control the complexity of the approximating set, by defining families ...
Artículo
Control Predictivo Mín-Máx de una planta piloto
(Universidad Politécnica de Valencia, 2008)
Este trabajo muestra la aplicación de una estrategia de control predictivo mín máx basado en modelos (Min-Max Model Predictive Control, MMMPC) a una planta piloto en la que se controla la temperatura de un reactor. Para ...
Ponencia
Invariants sets for a class of discrete-time lur'e Systems
(Elsevier, 2005)
We present a method to estimate the domain of attraction of a class of discrete-time Lur'e systems. A new notion of LNL-invariance, stronger than the traditional invariance concept, is introduced. An algorithm to determinate ...
Artículo
Probabilistic performance validation of deep learning-based robust NMPC controllers
(John Wiley and Sons, 2021-12)
Solving nonlinear model predictive control problems in real time is still an important challenge despite of recent advances in computing hardware, optimization algorithms and tailored implementations. This challenge is ...
Ponencia
Adaptive Model Predictive Control of the Hybrid Dinamics of a Fuel Cell Systems
(Institute of Electrical and Electronics Engineers (IEEE), 2007)
In this paper, an adaptive control scheme for the safe operation of a fuel cell system is presented. The aim of the control design is to guarantee that the oxygen ratio do not reach dangerous values. A first level of control ...
Ponencia
A new approach for Guaranteed ellipsoidal state estimation
(Elsevier, 2014)
This paper proposes a new ellipsoid-based guaranteed state estimation approach for linear discrete-time systems with bounded perturbations and bounded measurement noise. This approach is based on the minimization of the ...
Ponencia
Detección de fallos con validación probabilística
(Comité Español de Automática (CEA), 2013)
Presentamos una estrategia general para el diseÑo de un bloque de detección de fallos con validación probabilística (PCV- Procesado, clasificación, validacion). Se propone un esquema general de PCV, que permite dise~nar ...
Ponencia
Stochastic model predictive control for linear systems affected by correlated disturbances
(Elsevier, 2022)
In this paper, the problem of stability, recursive feasibility and convergence conditions of stochastic model predictive control for linear discrete-time systems affected by a large class of correlated disturbances is ...
Artículo
Min–max MPC using a tractable QP problem
(Elsevier, 2007)
Min–max model predictive controllers (MMMPC) suffer from a great computational burden that is often circumvented by using approximate solutions or upper bounds of the worst possible case of a performance index. This paper ...
Ponencia
Enhaced Robust NMPC based on nominal predictions
(Elsevier, 2010)
This paper deals with the design of robust predictive controllers for uncertain constrained nonlinear systems. The considered controller is based on nominal predictions and can be posed as a standard MPC. Robust feasibility ...