NameAlamo, Teodoro
DepartmentIngeniería de Sistemas y Automática
Knowledge areaIngeniería de Sistemas y Automática
Professional categoryCatedrático de Universidad
E-mailRequest
           
  • No. publications

    106

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PhD Thesis
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Safe and optimal operation under uncertainty and plant-model mismatch

Mirasierra Calleja, Victor; Alamo, Teodoro; Limón Marruedo, Daniel (2024)
Designing model-based control systems involves addressing uncertainty and modeling errors to ensure robust control. While ...
PhD Thesis
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Optimal navigation management in natural inland waterways

Moreno Nadales, Juan; Alamo, Teodoro; Limón Marruedo, Daniel; Muñoz de la Peña Sequedo, David (2024)
Today, maritime freight transport is one of the most important factors in the development and growth of world economies ...
Final Degree Project
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Control Predictivo para la Gestión Segura de la Anestesia

Rodríguez Álvarez-Ossorio, María Leonor; Alamo, Teodoro (2024)
En este trabajo de fin de grado se aborda la gestión de la anestesia utilizando técnicas de control predictivo, con el ...
Article
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Efficient Online Update of Model Predictive Control in Embedded Systems Using First-Order Methods

Gracia Villegas, Víctor Manuel; Krupa García, Pablo; Alamo, Teodoro; Limón Marruedo, Daniel (IEEE (Institute of Electrical and Electronics Engineers), 2023)
Model Predictive Control (MPC) is typically characterized for being computationally demanding, as it requires solving ...
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Prediction regions based on dissimilarity functions

Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Lucia, Sergio; Alamo, Teodoro (Elsevier, 2023)
This paper presents a new methodology to obtain prediction regions of the output of a dynamical system. The proposed ...
Presentation
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Real-time monitoring and optimal vessel rescheduling in natural inland waterways

Moreno Nadales, Juan; Muñoz de la Peña Sequedo, David; Limón Marruedo, Daniel; Alamo, Teodoro (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 ...
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Kernel-based State-Space Kriging for Predictive Control

Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Limón Marruedo, Daniel; Alamo, Teodoro (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 ...
Final Degree Project
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Implementación de Controladores Predictivos UtilizandoADMMy Estructuras en Semi-Banda

Vázquez Camacho, Lorenzo; Alamo, Teodoro (2023)
En este proyecto se ha querido llegar una implementación del método ADMM más óptima para la formulación para tracking del ...
PhD Thesis
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Probabilistic data-driven methods for forecasting, identification and control

Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Alamo, Teodoro (2022)
This dissertation presents contributions mainly in three different fields: system identification, probabilistic forecasting ...
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Probabilistically Certified Management of Data Centers Using Predictive Control

Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Alamo, Teodoro; Limón Marruedo, Daniel (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 ...
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Chance-constrained sets approximation: A probabilistic scaling approach

Mammarella, Martina; Mirasierra Calleja, Victor; Lorenzen, Matthias; Alamo, Teodoro; Dabbene, Fabrizio (Elsevier, 2022)
In this paper, a sample-based procedure for obtaining simple and computable approximations of chance-constrained sets is ...
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Tractable robust MPC design based on nominal predictions

Alvarado Aldea, Ignacio; Krupa García, Pablo; Limón Marruedo, Daniel; Alamo, Teodoro (Elsevier, 2022)
Many popular approaches in the field of robust model predictive control (MPC) are based on nominal predictions. This paper ...
Presentation
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Stochastic model predictive control for linear systems affected by correlated disturbances

Chaouach, Lotfi Mustapha; Fiacchini, Mirko; Alamo, Teodoro (Elsevier, 2022)
In this paper, the problem of stability, recursive feasibility and convergence conditions of stochastic model predictive ...
Presentation
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Covariance control for discrete-time stochastic switched linear systems

Fiacchini, Mirko; Alamo, Teodoro (Elsevier, 2022)
This paper deals with the covariance control for discrete-time linear switched systems affected by additive stochastic ...
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Harmonic Based Model Predictive Control for Set-Point Tracking

Krupa García, Pablo; Limón Marruedo, Daniel; Alamo, Teodoro (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)
This article presents a novel model predictive control (MPC) formulation for set-point tracking. Stabilizing predictive ...
Presentation
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Multi-Vehicle System Localization by Distributed Moving Horizon Estimation over a Sensor Network with Sporadic Measurements

Venturino, Antonello; Bertrand, Sylvain; Stoica Maniu, Cristina; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2022)
This paper proposes a Distributed Moving Horizon Estimator (DMHE) for the Multi-Vehicle system localization problem using ...
Master's Final Project
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Determinación del estrés hídrico de una planta mediante sensores ZIM y técnicas de aprendizaje automático

Palomo Iranzo, Jaime; Alamo, Teodoro; Muñoz de la Peña Sequedo, David (2022)
El estrés hídrico refleja el nivel de hidratación de una planta. Medirlo adecuadamente permite ajustar el agua de riego ...
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Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm

Krupa García, Pablo; Alvarado Aldea, Ignacio; Limón Marruedo, Daniel; Alamo, Teodoro (Institute of Electrical and Electronics Engineers. IEEE, 2022)
This article presents a sparse, low-memory footprint optimization algorithm for the implementation of model predictive ...
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Restart of accelerated first order methods with linear convergence under a quadratic functional growth condition

Alamo, Teodoro; Krupa García, Pablo; Limón Marruedo, Daniel (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 ...
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State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems

Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Alamo, Teodoro (IEEE, 2022)
This letter presents a new method for modeling dynamical systems. The method uses historical data of the outputs to predict ...
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Probabilistic performance validation of deep learning-based robust NMPC controllers

Karg, Benjamin; Alamo, Teodoro; Lucía, Sergio (John Wiley and Sons, 2021)
Solving nonlinear model predictive control problems in real time is still an important challenge despite of recent advances ...
Presentation
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A New ℓ-step Neighbourhood Distributed Moving Horizon Estimator

Venturino, Antonello; Bertrand, Sylvain; Stoica Maniu, Cristina; Alamo, Teodoro; Camacho, Eduardo F. (IEEE, 2021)
This paper focuses on Distributed State Estimation over a peer-to-peer sensor network composed by possible low-computational ...
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Probabilistic interval predictor based on dissimilarity functions

Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Alamo, Teodoro (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 ...
Article
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Probabilistic reachable and invariant sets for linear systems with correlated disturbance

Fiacchini, Mirko; Alamo, Teodoro (Elsevier, 2021)
In this paper a constructive method to determine and compute probabilistic reachable and invariant sets for linear ...
PhD Thesis
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Implementation of MPC in embedded systems using first order methods

Krupa García, Pablo; Limón Marruedo, Daniel; Alamo, Teodoro (2021)
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Implementation of Model Predictive Control in Programmable Logic Controllers

Krupa García, Pablo; Limón Marruedo, Daniel; Alamo, Teodoro (IEEE, 2021)
In this article, we present an implementation of a low-memory footprint model predictive control (MPC)-based controller ...
Final Degree Project
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Predicciones intervalares utilizando optimización convexa

Torres Morón, José; Alamo, Teodoro (2021)
El fin último de este trabajo consiste en desarrollar una metodología que provea de predicciones intervalares útiles. Es ...
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Receding Horizon Optimization of Large Trade Orders

Alfonso, Gerardo; Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Alamo, Teodoro (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 ...
Final Degree Project
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Algoritmos de primer orden para implementación del Control Predictivo para Seguimiento

Maestro Valenzuela, Javier; Alamo, Teodoro (2021)
En este documento voy a definir y detallar algunos de los variados algoritmos que existen para implementar un sistema de ...
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Data-driven methods for present and future pandemics: Monitoring, modelling and managing

Alamo, Teodoro; Gutiérrez Reina, Daniel; Millán Gata, Pablo; Preciado, Víctor M.; Giordano, Giulia (Elsevier Ltd, 2021)
This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from ...
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Stock Forecasting Using Local Data

Alfonso, Gerardo; Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Alamo, Teodoro (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 ...
Presentation
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Computationally efficient stochastic MPC: A probabilistic scaling approach

Mammarella, Martina; Alamo, Teodoro; Dabbene, Fabrizio; Lorenzen, Matthias (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 ...
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Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

Alamo, Teodoro; Gutiérrez Reina, Daniel; Mammarella, Martina; Abella, Alberto (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 ...
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Predictive control of a water distribution system based on process historian data

Salvador Ortiz, José Ramón; Muñoz de la Peña Sequedo, David; Rodríguez Ramírez, Daniel; Alamo, Teodoro (Wiley, 2020)
In this paper, a heuristic historian data-based predictive control strategy is presented and used to control a water ...
Master's Final Project
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Algoritmos estadísticos para el modelado de comportamientos sociales

Moreno Sosa, Jaime María; Alamo, Teodoro (2020)
Este trabajo de fin de máster, realizado en parte durante la estancia del autor en el Politecnico di Torino (Turín, Italia) ...
Final Degree Project
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Aprendizaje Automático y Técnicas de Validación

Soto Marchena, David; Alamo, Teodoro (2020)
En este trabajo se ha diseñado e implementado una estrategia de validación para predictores. Para crear los predictores ...
Presentation
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A probabilistic validation approach for penalty function design in stochastic model predictive control

Mammarella, Martina; Alamo, Teodoro; Lucía, Sergio; Dabbene, Fabrizio (Elsevier B.V., 2020)
In this paper, we consider a stochastic Model Predictive Control able to account for effects of additive stochastic ...
Final Degree Project
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Controladores en línea basados en datos obtenidos por control iterativo

Cano Marín, Francisco Javier; Alamo, Teodoro (2020)
En este proyecto se trata un tema ampliamente discutido, la obtención de un controlador sin error en régimen permanente ...
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Offset free data driven control: application to a process control trainer

Salvador, José R.; Rodríguez Ramírez, Daniel; Alamo, Teodoro; Muñoz de la Peña Sequedo, David (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 ...
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Nonlinear MPC for tracking piece-wise constant reference signals

Limón Marruedo, Daniel; Ferramosca, Antonio; Alvarado Aldea, Ignacio; Alamo, Teodoro (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 ...
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Economic Model Predictive Control with Nonlinear Constraint Relaxation for the Operational Management of Water Distribution Networks

Wang, Ye; Alamo, Teodoro; Puig, Vicenç; Cembrano, Gabriela (MDPI, 2018)
This paper presents the application of an economic model predictive control (MPC) for the operational management of water ...
Final Degree Project
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Algoritmos para la reconstrucción de datos de demanda

Robles Olmo, Agustín; Alamo, Teodoro (2018)
Actualmente, las empresas de abastecimiento están implementando “contadores inteligentes” con el objetivo de obtener ...
Final Degree Project
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Técnicas de ajuste de los métodos Kernel para la regresión

Amor Perea, Jorge; Alamo, Teodoro (2018)
Este trabajo constituye un acercamiento a los métodos kernel para el aprendizaje automático en problemas de regresión. Se ...
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Distributed Zonotopic Set-Membership State Estimation based on Optimization Methods with Partial Projection

Wang, Ye; Alamo, Teodoro; Puig, Vicenç; Cembrano, Gabriela (Elsevier, 2017)
A distributed set-membership approach is proposed for the state estimation of large-scale systems. The uncertain system ...
Presentation
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Control predictivo basado en datos

Manzano Crespo, José María; Limón Marruedo, Daniel; Alamo, Teodoro; Calliess, Jan Peter; López García, Hilario (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 ...
Presentation
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Desarrollo de un controlador predictivo para autómatas programables basado en la normativa IEC 61131-3

Krupa García, Pablo; Limón Marruedo, Daniel; Alamo, Teodoro; López García, Hilario (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 ...
Presentation
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Predictor intervalar basado en hiperplano soporte

Bravo Caro, José Manuel; Vasallo Vázquez, Manuel Jesús; Cojocaru, Emilian; Alamo, Teodoro; López García, Hilario (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 ...
Final Degree Project
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Funciones de verosimilitud en el entorno del aprendizaje automático

Mirasierra Calleja, Victor; Alamo, Teodoro (2017)
Este documento recoge el estudio y desarrollo de funciones de disimilitud en el entorno del aprendizaje automático, así ...
Final Degree Project
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Resolución de sistemas de ecuaciones en semi banda

Martín Cuevas, Alejandro; Alamo, Teodoro (2017)
El objetivo de este proyecto es la resolución de sistemas de ecuaciones cuya matriz tenga la particularidad de ser el ...
Article
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MPC for Tracking Periodic References

Limón Marruedo, Daniel; Pereira Martín, Mario; Muñoz de la Peña Sequedo, David; Alamo, Teodoro; Jones, Colin N.; Zeilinger, Melanie N. (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 ...
PhD Thesis
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Contribución al control económico con criterios cambiantes

Pereira Martín, Mario; Limón Marruedo, Daniel; Muñoz de la Peña Sequedo, David; Alamo, Teodoro (2016)
Esta tesis se centra en el problema del diseño de controladores predictivos basados en modelo (MPC) para procesos ...
Final Degree Project
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Técnicas de predicción aplicadas al mercado español de la energía eléctrica

Liñán Maho, Albert Jakob; Alamo, Teodoro (2016)
El presente documento presenta un estudio sobre el mercado diario español de la energía eléctrica mediante técnicas de ...
Presentation
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Guaranteed state estimation and fault detection based on zonotopes for differential-algebraic-equation systems

Wang, Ye; Puig, Vicenç; Cembrano, Gabriela; Alamo, Teodoro (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 ...
Final Degree Project
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Estudio de Bootstrapping en algoritmos de clasificación

Franco Ceballos, Gonzalo; Alamo, Teodoro (2015)
Este documento recoge un estudio de la aplicación de técnicas basadas en bootstrapping a problemas de clasificación. La ...
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A new approach for Guaranteed ellipsoidal state estimation

Ben Chabane, S.; Stoica Maniu, Cristina; Alamo, Teodoro; Camacho, Eduardo F.; Dumur, D. (Elsevier, 2014)
This paper proposes a new ellipsoid-based guaranteed state estimation approach for linear discrete-time systems with bounded ...
Presentation
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An iterative design method for Coalitional control networks with constraints on the shapley Value

Muros Ponce, Francisco Javier; Maestre Torreblanca, José María; Algaba Durán, Encarnación; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2014)
In this work, we introduce a new iterative design method for a coalitional control scheme for linear systems recently ...
PhD Thesis
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On randomized algorithms and their applications in robust optimization: Algoritmos aleatorios y aplicaciones en optimización robusta

Luque Sendra, Amalia; Rodríguez Ramírez, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (2014)
Las aéreas que han sido abordadas en la tesis y q se pueden considerar para trabajo futuro son: * Aplicación a CUDA * ...
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Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms

Alamo, Teodoro; Tempo, Roberto; Luque Sendra, Amalia; Ramírez, Daniel R. (Elsevier, 2014)
In this paper, we study randomized methods for feedback design of uncertain systems. The first contribution is to derive ...
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Detección de fallos con validación probabilística

Blesa, J.; Luque Sendra, Amalia; Alamo, Teodoro; Dabbene, Fabrizio (Comité Español de Automática (CEA), 2013)
Presentamos una estrategia general para el diseÑo de un bloque de detección de fallos con validación probabilística (PCV- ...
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Un algoritmo secuencial, aleatorio y óptimo para problemas de factibilidad robusta

Alamo, Teodoro; Tempo, Roberto; Luque Sendra, Amalia; Camacho, Eduardo F.; Ramírez, Daniel R. (Elsevier, 2013)
En este trabajo (del cual se presentó una versión preliminar en Álamo et al. (2007)) se propone un algoritmo aleatorio ...
Presentation
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MPC for tracking periodic reference signals

Limón Marruedo, Daniel; Pereira Martín, Mario; Muñoz de la Peña Sequedo, David; Alamo, Teodoro; Jones, Colin N.; Zeilinger, Melanie N. (Elsevier, 2012)
This paper is devoted to the design of a predictive controller for constrained linear systems to track periodic references. ...
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Análisis y minimización del riesgo de rotura de stock aplicado a la gestión en farmacia hospitalaria

Maestre Torreblanca, José María; Isla Tejera, Beatriz; Fernández García, María Isabel; Prado Llergo, Ramón del; Alamo, Teodoro; Camacho, Eduardo F. (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.
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Ultimate bounded stability and stabilization of linear systems interconnected with generalized saturated functions

Tarbouriech, S.; Queinnec, I.; Alamo, Teodoro; Fiacchini, Mirko; Camacho, Eduardo F. (Elsevier, 2011)
This paper proposes some ultimate bounded stability analysis and stabilization conditions for systems involving actuators ...
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A New Approach for Guaranteed State Estimation by Zonotopes

Alamo, Teodoro; Camacho, Eduardo F.; Le, V.T.H.; Stoica Maniu, Cristina; Dumur, D. (Elsevier, 2011)
This paper proposes a methodology for guaranteed state estimation of linear discrete-time systems in the presence of bounded ...
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Computational burden reduction in Min-Max MPC

Rodríguez Ramírez, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2011)
Min–max model predictive control (MMMPC) is one of the strategies used to control plants subject to bounded uncertainties. ...
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Enhaced Robust NMPC based on nominal predictions

Limón Marruedo, Daniel; Alvarado Aldea, Ignacio; Ferramosca, Antonio; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2010)
This paper deals with the design of robust predictive controllers for uncertain constrained nonlinear systems. The considered ...
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Model predictive control techniques for hybrid systems

Camacho, Eduardo F.; Rodríguez Ramírez, Daniel; Limón Marruedo, Daniel; Muñoz de la Peña Sequedo, David; Alamo, Teodoro (Elsevier, 2010)
This paper describes the main issues encountered when applying model predictive control to hybrid processes. Hybrid model ...
PhD Thesis
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Convex difference inclusions for systems analysis and design inclusiones convexas para el análisis y el diseño

Fiacchini, Mirko; Alamo, Teodoro; Camacho, Eduardo F. (2010)
El segundo capítulo trata el problema del modelado. Se recordarán definiciones y caracterizaciones generales de sistemas ...
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Hybrid modeling of renewable energy systems and its application to a hot water solar plant

Luque Sendra, Amalia; Alamo, Teodoro; Limón Marruedo, Daniel; Ruiz Arahal, Manuel; Conseglieri, A.; Quintero, A.; Camacho, Eduardo F. (Elsevier, 2010)
A family of models that can be applied to various types of renewable energy plants is proposed. The methodology is used ...
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A Robust Constrained Reference Governor Approach using Linear Matrix Inequalities

Guzmán, José Luis; Alamo, Teodoro; Berenguel, M.; Dormido, S.; Camacho, Eduardo F. (Elsevier, 2009)
The purpose of this paper is to examine and provide a solution to the output reference tracking problem for uncertain ...
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Control Predictivo Mín-Máx de una planta piloto

Ramírez, D. R.; Gruber, Jorn Klaas; Alamo, Teodoro; Bordons Alba, Carlos; Camacho, Eduardo F. (Universidad Politécnica de Valencia, 2008)
Este trabajo muestra la aplicación de una estrategia de control predictivo mín máx basado en modelos (Min-Max Model ...
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Algoritmo de minimización para control predictivo con restricciones

Orihuela Espina, Diego Luis; Alamo, Teodoro; Muñoz de la Peña Sequedo, David; Rodríguez Rubio, Francisco (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 ...
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An Efficient Maximization Algorithm With Implications in Min-Max Predictive Control

Alamo, Teodoro; Muñoz de la Peña Sequedo, David; Camacho, Eduardo F. (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. ...
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A set-membership state estimation algorithm based on DC programming

Alamo, Teodoro; Bravo Caro, José Manuel; Redondo González, Manuel Joaquín; Camacho, Eduardo F. (Elsevier, 2008)
This paper presents a new approach to guaranteed state estimation for nonlinear discrete-time systems with a bounded ...
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MPC for tracking with optimal closed-loop performance

Ferramosca, Antonio; Limón Marruedo, Daniel; Alvarado Aldea, Ignacio; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2008)
In the recent paper [Limon, D., Alvarado, I., Álamo, T., & Camacho, E.F. (2008). MPC for tracking of piece-wise constant ...
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Min-Max Predictive Control of a Pilot Plant using a QP Approach

Gruber, Jorn Klaas; Rodríguez Ramírez, Daniel; Alamo, Teodoro; Bordons Alba, Carlos; Camacho, Eduardo F. (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 ...
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A new vertex result for robustness problems with interval matrix uncertainty

Alamo, Teodoro; Tempo, Roberto; Rodríguez Ramírez, Daniel; Camacho, Eduardo F. (Elsevier, 2008)
This paper1 addresses a family of robustness problems in which the system under consideration is affected by interval ...
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On the design of Robust tube-based MPC for tracking

Limón Marruedo, Daniel; Alvarado Aldea, Ignacio; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2008)
This paper deals with the design procedure of the recently presented robust MPC for tracking of constrained linear systems ...
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Dynamic Output Feedback for Discrete-Time Systems Under Amplitude and Rate Actuator Constraints

Gomes da Silva, J.M.; Limón Marruedo, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (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 ...
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Robust control of the distributed solar collector field ACUREX using MPC for tracking

Limón Marruedo, Daniel; Alvarado Aldea, Ignacio; Alamo, Teodoro; Arahal, Manuel R.; Camacho, Eduardo F. (Elsevier, 2008)
This paper presents the application of a robust model predictive control for tracking of piece-wise constant references ...
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Adaptive Model Predictive Control of the Hybrid Dinamics of a Fuel Cell Systems

Fiacchini, Mirko; Albea-Sánchez, Carolina; Alamo, Teodoro; Camacho, Eduardo F. (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 ...
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Min–max MPC using a tractable QP problem

Alamo, Teodoro; Rodríguez Ramírez, Daniel; Muñoz de la Peña Sequedo, David; Camacho, Eduardo F. (Elsevier, 2007)
Min–max model predictive controllers (MMMPC) suffer from a great computational burden that is often circumvented by using ...
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Comparison between two state estimation techniqueds for linear systems

Merhy, D.; Stoica Maniu, Cristina; Alamo, Teodoro; Camacho, Eduardo F.; Ben Chabane, S. (2007)
This paper presents a comparison in terms of accuracy and complexity between two approaches used for state estimation of ...
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Estimación de estados basada en error acotado

Bravo, J.M.; Alamo, Teodoro; Camacho, Eduardo F. (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 ...
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A Java based simulation for basic control

Limón Marruedo, Daniel; Salas Gómez, Francisco; Rodríguez Ramírez, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2006)
In this paper we present a java based simulator for control education in basiccourses. The application has been ...
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A Prediction approach to introduce dead-time process control in a basic control course

Normey Rico, Julio Elías; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2006)
This paper presents a methodology to introduce the control of dead-time processes using a simple and intuitive predictive ...
PhD Thesis
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Min-Max MPC based on a computationally efficient upper bound of the worst case cost

Rodríguez Ramírez, Daniel; Alamo, Teodoro; Camacho, Eduardo F.; Muñoz de la Peña Sequedo, David (Elsevier, 2006)
Min-Max MPC (MMMPC) controllers [P.J. Campo, M. Morari, Robust model predictive control, in: Proc. American Control ...
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A descomposition Algorithm for Feedback Min-Max Model predictive Control

Muñoz de la Peña Sequedo, David; Alamo, Teodoro; Bemporad. A.; Camacho, Eduardo F. (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 ...
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Bounded Error Identification of Systems With Time-Varying Parameters

Bravo, J.M.; Alamo, Teodoro; Camacho, Eduardo F. (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. ...
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An Educational plant based on the Quadruple-tank process

Alvarado Aldea, Ignacio; Limón Marruedo, Daniel; García-Gabín, Winston; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2006)
This paper presents an experimental tank system developed at the University ofSeville for process control education. This ...
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Introducing Linear Matrix Inequalities in a Control Course

Alamo, Teodoro; Normey Rico, Julio Elías; Arahal, Manuel R.; Limón Marruedo, Daniel; Camacho, Eduardo F. (Elsevier, 2006)
The important role that linear matrix inequalities have attained in the last years makes it compulsory to include them in ...
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Control Predictivo para el seguimiento de referencias constantes aplicado a un motor lineal

Alvarado Aldea, Ignacio; Fiacchini, Mirko; Limón Marruedo, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (Universidad de Almería, 2006)
Este artículo trata de la aplicación de una estrategia de control predictivo (MPC) para seguimiento de referencias a un ...
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Invariants sets for a class of discrete-time lur'e Systems

Cepeda, A.; Alamo, Teodoro; Camacho, Eduardo F. (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 ...
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A new concept of invariance for saturated systems

Alamo, Teodoro; Cepeda Caballos, Alfonso; Limón Marruedo, Daniel; Camacho, Eduardo F. (Elsevier, 2005)
In this paper, a new concept of invariance for saturated linear systems is presented. This new notion of invariance, denoted ...
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Improved MPC Design based on Saturating Control Laws

Limón Marruedo, Daniel; Gomesda Silva, J.M.; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2005)
This paper is concerned with the design of stabilizing model predictive control (MPC) laws for constrained linear systems. ...
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On the computation of invariant sets for constrained nonlinear systems: An interval arithmetic approach

Bravo Caro, José Manuel; Limón Marruedo, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2005)
This paper deals with the computation of control invariant sets for constrained nonlinear systems. The proposed approach ...
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Enlarging the domain of attraction of MPC controllers

Limón Marruedo, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2005)
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The usual ...
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Robust MPC of constrained nonlinear systems based on interval arithmetic

Limón Marruedo, Daniel; Bravo, J.M.; Alamo, Teodoro; Camacho, Eduardo F. (Institution of Engineering and Technology (IET), 2005)
A robust MPC for constrained discrete-time nonlinear systems with additive uncertainties is presented. The proposed ...
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Computationally efficient min-max MPC

Rodríguez Ramírez, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2005)
Min-Max MPC (MMMPC) controllers (Campo and Morari, 1987) suffer from a great computational burden that is often circumvented ...
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Min-max model predictive control as a quadratic program

Muñoz de la Peña Sequedo, David; Alamo, Teodoro; Rodríguez Ramírez, Daniel; Camacho, Eduardo F. (Elsevier, 2005)
This paper deals with the implementation of min-max model predictive control for constrained linear systems with bounded ...
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MPC for tracking of piece-wise constant referente for constrained linear systems

Limón Marruedo, Daniel; Alvarado Aldea, Ignacio; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2005)
Model predictive control (MPC) is one of the few techniques which is able to handle with constraints on both state and ...
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Robust stability of min-max MPC controllers for nonlinear systems with bounded uncertainties

Limón Marruedo, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (2004)
The closed loop formulation of the robust MPC has been shown to be a control technique capable of robustly stabilize uncertain ...
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Control predictivo no lineal robusto basado en técnicas intervalares

Bravo Caro, José Manuel; Alamo, Teodoro; Camacho, Eduardo F. (2004)
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Enlarging the domain of attraction of MPC controller using invariant sets

Limón Marruedo, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (Elsevier, 2002)
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The useful ...
PhD Thesis
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Control predictivo de sistemas no lineales con restricciones estabilidad y robustez

Limón Marruedo, Daniel; Alamo, Teodoro; Camacho, Eduardo F. (2002)