Perfil del autor: Alamo, Teodoro
Datos institucionales
| Nombre | Alamo, Teodoro |
| Departamento | Ingeniería de Sistemas y Automática |
| Área de conocimiento | Ingeniería de Sistemas y Automática |
| Categoría profesional | Catedrático de Universidad |
| Correo electrónico | Solicitar |
 |
|
Estadísticas
-
Nº publicaciones
103
-
Nº visitas
9975
-
Nº descargas
20957
| Publicaciones |
|---|
Artículo
 Efficient Online Update of Model Predictive Control in Embedded Systems Using First-Order Methods
(IEEE (Institute of Electrical and Electronics Engineers), 2023)
Model Predictive Control (MPC) is typically characterized for being computationally demanding, as it requires solving ... |
Artículo
Prediction regions based on dissimilarity functions
(Elsevier, 2023)
This paper presents a new methodology to obtain prediction regions of the output of a dynamical system. The proposed ... |
Ponencia
Real-time monitoring and optimal vessel rescheduling in natural inland waterways
(Elsevier / International Federation of Automatic Control (IFAC), 2023)
Despite the efforts made by the port community and the academia to develop Efficient strategies to mitigate the effect of ... |
Artículo
Kernel-based State-Space Kriging for Predictive Control
(Institute of Electric and Electronics Engineers (IEEE), 2023)
In this paper, we extend the State-Space Kriging (SSK) modeling technique presented in a previous work by the authors in ... |
Trabajo Fin de Grado
Implementación de Controladores Predictivos UtilizandoADMMy Estructuras en Semi-Banda
(2023)
En este proyecto se ha querido llegar una implementación del método ADMM más óptima para la formulación para tracking del ... |
Tesis Doctoral
Probabilistic data-driven methods for forecasting, identification and control
(2022)
This dissertation presents contributions mainly in three different fields: system identification, probabilistic forecasting ... |
Artículo
Probabilistically Certified Management of Data Centers Using Predictive Control
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Data centers are facilities with large number of servers providing cloud services. The increasing number of data centers ... |
Artículo
Chance-constrained sets approximation: A probabilistic scaling approach
(Elsevier, 2022)
In this paper, a sample-based procedure for obtaining simple and computable approximations of chance-constrained sets is ... |
Artículo
Tractable robust MPC design based on nominal predictions
(Elsevier, 2022)
Many popular approaches in the field of robust model predictive control (MPC) are based on nominal predictions. This paper ... |
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 ... |
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 ... |
Artículo
Harmonic Based Model Predictive Control for Set-Point Tracking
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)
This article presents a novel model predictive control (MPC) formulation for set-point tracking. Stabilizing predictive ... |
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 ... |
Trabajo Fin de Máster
Determinación del estrés hídrico de una planta mediante sensores ZIM y técnicas de aprendizaje automático
(2022)
El estrés hídrico refleja el nivel de hidratación de una planta. Medirlo adecuadamente permite ajustar el agua de riego ... |
Artículo
Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm
(Institute of Electrical and Electronics Engineers. IEEE, 2022)
This article presents a sparse, low-memory footprint optimization algorithm for the implementation of model predictive ... |
Artículo
Restart of accelerated first order methods with linear convergence under a quadratic functional growth condition
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)
Accelerated first order methods, also called fast gradient methods, are popular optimization methods in the field of convex ... |
Artículo
State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems
(IEEE, 2022)
This letter presents a new method for modeling dynamical systems. The method uses historical data of the outputs to predict ... |
Artículo
Probabilistic performance validation of deep learning-based robust NMPC controllers
(John Wiley and Sons, 2021)
Solving nonlinear model predictive control problems in real time is still an important challenge despite of recent advances ... |
Ponencia
A New ℓ-step Neighbourhood Distributed Moving Horizon Estimator
(IEEE, 2021)
This paper focuses on Distributed State Estimation over a peer-to-peer sensor network composed by possible low-computational ... |
Artículo
Probabilistic interval predictor based on dissimilarity functions
(Institute of Electrical and Electronics Engineers. IEEE, 2021)
This work presents a new methodology to obtain probabilistic interval predictions of a dynamical system. The proposed ... |
Artículo
Probabilistic reachable and invariant sets for linear systems with correlated disturbance
(Elsevier, 2021)
In this paper a constructive method to determine and compute probabilistic reachable and invariant sets for linear ... |
| Tesis Doctoral |
Artículo
 Implementation of Model Predictive Control in Programmable Logic Controllers
(IEEE, 2021)
In this article, we present an implementation of a low-memory footprint model predictive control (MPC)-based controller ... |
Trabajo Fin de Grado
Predicciones intervalares utilizando optimización convexa
(2021)
El fin último de este trabajo consiste en desarrollar una metodología que provea de predicciones intervalares útiles. Es ... |
Artículo
Receding Horizon Optimization of Large Trade Orders
(Institute of Electrical and Electronics Engineers Inc., 2021)
The optimal execution of stock trades is a relevant and interesting problem as it is key in maximizing profits and reducing ... |
Trabajo Fin de Grado
Algoritmos de primer orden para implementación del Control Predictivo para Seguimiento
(2021)
En este documento voy a definir y detallar algunos de los variados algoritmos que existen para implementar un sistema de ... |
Artículo
Data-driven methods for present and future pandemics: Monitoring, modelling and managing
(Elsevier Ltd, 2021)
This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from ... |
Artículo
Stock Forecasting Using Local Data
(Institute of Electrical and Electronics Engineers Inc. (IEEE), 2020)
Stock price forecasting is a relevant and challenging problem that has attracted a lot of interest from engineers and ... |
Ponencia
Computationally efficient stochastic MPC: A probabilistic scaling approach
(Institute of Electrical and Electronics Engineers. IEEE, 2020)
In recent years, the increasing interest in Stochastic model predictive control (SMPC) schemes has highlighted the limitation ... |
Artículo
Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic
(MDPI AG, 2020)
We provide an insight into the open-data resources pertinent to the study of the spread of the Covid-19 pandemic and its ... |
Artículo
Predictive control of a water distribution system based on process historian data
(Wiley, 2020)
In this paper, a heuristic historian data-based predictive control strategy is presented and used to control a water ... |
Trabajo Fin de Máster
Algoritmos estadísticos para el modelado de comportamientos sociales
(2020)
Este trabajo de fin de máster, realizado en parte durante la estancia del autor en el Politecnico di Torino (Turín, Italia) ... |
Trabajo Fin de Grado
Aprendizaje Automático y Técnicas de Validación
(2020)
En este trabajo se ha diseñado e implementado una estrategia de validación para predictores. Para crear los predictores ... |
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 ... |
Trabajo Fin de Grado
Controladores en línea basados en datos obtenidos por control iterativo
(2020)
En este proyecto se trata un tema ampliamente discutido, la obtención de un controlador sin error en régimen permanente ... |
Artículo
Offset free data driven control: application to a process control trainer
(Institution of Engineering and Technology (IET) and Wiley Open Access, 2019)
This work presents a data driven control strategy able to track a set point without steady-state error. The control sequence ... |
Artículo
Nonlinear MPC for tracking piece-wise constant reference signals
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
This paper presents a novel tracking predictive controller for constrained nonlinear systems capable to deal with sudden ... |
Artículo
Economic Model Predictive Control with Nonlinear Constraint Relaxation for the Operational Management of Water Distribution Networks
(MDPI, 2018)
This paper presents the application of an economic model predictive control (MPC) for the operational management of water ... |
Trabajo Fin de Grado
Algoritmos para la reconstrucción de datos de demanda
(2018)
Actualmente, las empresas de abastecimiento están implementando “contadores inteligentes” con el objetivo de obtener ... |
Trabajo Fin de Grado
Técnicas de ajuste de los métodos Kernel para la regresión
(2018)
Este trabajo constituye un acercamiento a los métodos kernel para el aprendizaje automático en problemas de regresión. Se ... |
Artículo
Distributed Zonotopic Set-Membership State Estimation based on Optimization Methods with Partial Projection
(Elsevier, 2017)
A distributed set-membership approach is proposed for the state estimation of large-scale systems. The uncertain system ... |
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 ... |
Ponencia
Desarrollo de un controlador predictivo para autómatas programables basado en la normativa IEC 61131-3
(Servicio de Publicaciones de la Universidad de Oviedo, 2017)
En este trabajo se describe la implementación de un controlador predictivo (MPC) en un autómata programable (PLC) a través ... |
Ponencia
Predictor intervalar basado en hiperplano soporte
(Servicio de Publicaciones de la Universidad de Oviedo, 2017)
En este trabajo se aborda el problema de construir un modelo predictor. Dicho modelo debe ser capaz de predecir la salida ... |
Trabajo Fin de Grado
Funciones de verosimilitud en el entorno del aprendizaje automático
(2017)
Este documento recoge el estudio y desarrollo de funciones de disimilitud en el entorno del aprendizaje automático, así ... |
Trabajo Fin de Grado
Resolución de sistemas de ecuaciones en semi banda
(2017)
El objetivo de este proyecto es la resolución de sistemas de ecuaciones cuya matriz tenga la particularidad de ser el ... |
Artículo
MPC for Tracking Periodic References
(Institute of Electrical and Electronics Engineers. IEEE, 2016)
In this paper a new model predictive controller for tracking arbitrary periodic references is presented. The proposed ... |
Tesis Doctoral
Contribución al control económico con criterios cambiantes
(2016)
Esta tesis se centra en el problema del diseño de controladores predictivos basados en modelo (MPC) para procesos ... |
Trabajo Fin de Grado
Técnicas de predicción aplicadas al mercado español de la energía eléctrica
(2016)
El presente documento presenta un estudio sobre el mercado diario español de la energía eléctrica mediante técnicas de ... |
Ponencia
Guaranteed state estimation and fault detection based on zonotopes for differential-algebraic-equation systems
(Institute of Electrical and Electronics Engineers. IEEE, 2016)
This paper presents a set-membership approach based on zonotopes for differential-algebraic-equation (DAE) systems with ... |
Trabajo Fin de Grado
Estudio de Bootstrapping en algoritmos de clasificación
(2015)
Este documento recoge un estudio de la aplicación de técnicas basadas en bootstrapping a problemas de clasificación. La ... |
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 ... |
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 ... |
Tesis Doctoral
On randomized algorithms and their applications in robust optimization: Algoritmos aleatorios y aplicaciones en optimización robusta
(2014)
Las aéreas que han sido abordadas en la tesis y q se pueden considerar para trabajo futuro son: * Aplicación a CUDA * ... |
Artículo
Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms
(Elsevier, 2014)
In this paper, we study randomized methods for feedback design of uncertain systems. The first contribution is to derive ... |
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- ... |
Artículo
Un algoritmo secuencial, aleatorio y óptimo para problemas de factibilidad robusta
(Elsevier, 2013)
En este trabajo (del cual se presentó una versión preliminar en Álamo et al. (2007)) se propone un algoritmo aleatorio ... |
Ponencia
MPC for tracking periodic reference signals
(Elsevier, 2012)
This paper is devoted to the design of a predictive controller for constrained linear systems to track periodic references. ... |
Artículo
Análisis y minimización del riesgo de rotura de stock aplicado a la gestión en farmacia hospitalaria
(Elsevier, 2012)
Determinar el valor que debería tomar el stock de seguridad de los fármacos dispensados en un hospital de tercer nivel en función del nivel de riesgo y del número de días que se desee resistir sin rotura de stock. |
Artículo
Ultimate bounded stability and stabilization of linear systems interconnected with generalized saturated functions
(Elsevier, 2011)
This paper proposes some ultimate bounded stability analysis and stabilization conditions for systems involving actuators ... |
Ponencia
A New Approach for Guaranteed State Estimation by Zonotopes
(Elsevier, 2011)
This paper proposes a methodology for guaranteed state estimation of linear discrete-time systems in the presence of bounded ... |
Artículo
Computational burden reduction in Min-Max MPC
(Elsevier, 2011)
Min–max model predictive control (MMMPC) is one of the strategies used to control plants subject to bounded uncertainties. ... |
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 ... |
Artículo
Model predictive control techniques for hybrid systems
(Elsevier, 2010)
This paper describes the main issues encountered when applying model predictive control to hybrid processes. Hybrid model ... |
Tesis Doctoral
Convex difference inclusions for systems analysis and design inclusiones convexas para el análisis y el diseño
(2010)
El segundo capítulo trata el problema del modelado. Se recordarán definiciones y caracterizaciones generales de sistemas ... |
Ponencia
Hybrid modeling of renewable energy systems and its application to a hot water solar plant
(Elsevier, 2010)
A family of models that can be applied to various types of renewable energy plants is proposed. The methodology is used ... |
Artículo
A Robust Constrained Reference Governor Approach using Linear Matrix Inequalities
(Elsevier, 2009)
The purpose of this paper is to examine and provide a solution to the output reference tracking problem for uncertain ... |
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 ... |
Ponencia
Algoritmo de minimización para control predictivo con restricciones
(CEA - Comité Español de Automática, 2008)
En este trabajo se presenta un algoritmo de minimización que puede ser utilizado para solucionar el problema del control ... |
Artículo
An Efficient Maximization Algorithm With Implications in Min-Max Predictive Control
(Institute of Electrical and Electronics Engineers (IEEE), 2008)
In this technical note, an algorithm for binary quadratic programs defined by matrices with band structure is proposed. ... |
Artículo
A set-membership state estimation algorithm based on DC programming
(Elsevier, 2008)
This paper presents a new approach to guaranteed state estimation for nonlinear discrete-time systems with a bounded ... |
Artículo
MPC for tracking with optimal closed-loop performance
(Elsevier, 2008)
In the recent paper [Limon, D., Alvarado, I., Álamo, T., & Camacho, E.F. (2008). MPC for tracking of piece-wise constant ... |
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 ... |
Artículo
A new vertex result for robustness problems with interval matrix uncertainty
(Elsevier, 2008)
This paper1 addresses a family of robustness problems in which the system under consideration is affected by interval ... |
Ponencia
On the design of Robust tube-based MPC for tracking
(Elsevier, 2008)
This paper deals with the design procedure of the recently presented robust MPC for tracking of constrained linear systems ... |
Artículo
Dynamic Output Feedback for Discrete-Time Systems Under Amplitude and Rate Actuator Constraints
(Institute of Electrical and Electronics Engineers (IEEE), 2008)
This work proposes a technique for the design of stabilizing dynamic output feedback controllers for discrete-time linear ... |
Ponencia
Robust control of the distributed solar collector field ACUREX using MPC for tracking
(Elsevier, 2008)
This paper presents the application of a robust model predictive control for tracking of piece-wise constant references ... |
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 ... |
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 ... |
Ponencia
Comparison between two state estimation techniqueds for linear systems
(2007)
This paper presents a comparison in terms of accuracy and complexity between two approaches used for state estimation of ... |
Ponencia
Estimación de estados basada en error acotado
(CEA - Comité Español de Automática, 2007)
Este artículo presenta una revisión de los trabajos realizados por los autores en el campo de la estimación de estados ... |
Ponencia
A Java based simulation for basic control
(Elsevier, 2006)
In this paper we present a java based simulator for control education in basiccourses. The application has been ... |
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 ... |
| Tesis Doctoral |
Artículo
Min-Max MPC based on a computationally efficient upper bound of the worst case cost
(Elsevier, 2006)
Min-Max MPC (MMMPC) controllers [P.J. Campo, M. Morari, Robust model predictive control, in: Proc. American Control ... |
Artículo
A descomposition Algorithm for Feedback Min-Max Model predictive Control
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
An algorithm for solving feedback min-max model predictive control for discrete-time uncertain linear systems with constraints ... |
Artículo
Bounded Error Identification of Systems With Time-Varying Parameters
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
This note presents a new approach to guaranteed system identification for time-varying parameterized discrete-time systems. ... |
Ponencia
An Educational plant based on the Quadruple-tank process
(Elsevier, 2006)
This paper presents an experimental tank system developed at the University ofSeville for process control education. This ... |
Ponencia
Introducing Linear Matrix Inequalities in a Control Course
(Elsevier, 2006)
The important role that linear matrix inequalities have attained in the last years makes it compulsory to include them in ... |
Ponencia
Control Predictivo para el seguimiento de referencias constantes aplicado a un motor lineal
(Universidad de Almería, 2006)
Este artículo trata de la aplicación de una estrategia de control predictivo (MPC) para seguimiento de referencias a un ... |
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 ... |
Artículo
A new concept of invariance for saturated systems
(Elsevier, 2005)
In this paper, a new concept of invariance for saturated linear systems is presented. This new notion of invariance, denoted ... |
Artículo
Improved MPC Design based on Saturating Control Laws
(Elsevier, 2005)
This paper is concerned with the design of stabilizing model predictive control (MPC) laws for constrained linear systems. ... |
Artículo
On the computation of invariant sets for constrained nonlinear systems: An interval arithmetic approach
(Elsevier, 2005)
This paper deals with the computation of control invariant sets for constrained nonlinear systems. The proposed approach ... |
Artículo
Enlarging the domain of attraction of MPC controllers
(Elsevier, 2005)
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The usual ... |
Artículo
Robust MPC of constrained nonlinear systems based on interval arithmetic
(Institution of Engineering and Technology (IET), 2005)
A robust MPC for constrained discrete-time nonlinear systems with additive uncertainties is presented. The proposed ... |
Ponencia
Computationally efficient min-max MPC
(Elsevier, 2005)
Min-Max MPC (MMMPC) controllers (Campo and Morari, 1987) suffer from a great computational burden that is often circumvented ... |
Ponencia
Min-max model predictive control as a quadratic program
(Elsevier, 2005)
This paper deals with the implementation of min-max model predictive control for constrained linear systems with bounded ... |
Ponencia
MPC for tracking of piece-wise constant referente for constrained linear systems
(Elsevier, 2005)
Model predictive control (MPC) is one of the few techniques which is able to handle with constraints on both state and ... |
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 ... |
| Tesis Doctoral |
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 ... |
| Tesis Doctoral |