World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
50
Citations
10489
World Ranking
2790
National Ranking
33

Overview

Teodoro Alamo is affiliated with the University of Seville in Spain and has contributed extensively to the field of Engineering, with a focus on Control and Systems Engineering. Their research spans multiple subfields including Artificial Intelligence, Statistics, Probability and Uncertainty, Electrical and Electronic Engineering, and Industrial and Manufacturing Engineering.

The scientist's work covers a variety of topics such as:

  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Fault Detection and Control Systems
  • Probabilistic and Robust Engineering Design
  • Maritime Ports and Logistics
  • Target Tracking and Data Fusion in Sensor Networks
  • COVID-19 epidemiological studies

Teodoro Alamo has published in numerous academic venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Control Systems Letters
  • IEEE Transactions on Automatic Control
  • IFAC-PapersOnLine
  • IEEE Transactions on Control Systems Technology

Among recent papers, several highlight their involvement in epidemiological data and control systems:

  • "Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic," 2020, Electronics
  • "Data-driven methods for present and future pandemics: Monitoring, modelling and managing," 2021, Annual Reviews in Control
  • "Open Data Resources for Fighting COVID-19," 2020, arXiv (Cornell University)

Other notable publications related to control systems include:

  • "Probabilistic performance validation of deep learning-based robust NMPC controllers," 2021, International Journal of Robust and Nonlinear Control
  • "Implementation of Model Predictive Control in Programmable Logic Controllers," 2020, IEEE Transactions on Control Systems Technology

Teodoro Alamo frequently collaborates with a group of coauthors who have contributed multiple joint works, including:

  • Daniel Limón
  • Pablo Krupa
  • David Muñoz de la Peña
  • Fabrizio Dabbene
  • Martina Mammarella

In addition to research articles, the scientist has contributed to book publications, including a work published by Springer Nature titled Optimal Vessel Planning in Natural Inland Waterways (2024).

Best Publications

  • Brief Guaranteed state estimation by zonotopes

    T. Alamo;J. M. Bravo;E. F. Camacho

  • Brief paper: MPC for tracking piecewise constant references for constrained linear systems

    D. Limon;I. Alvarado;T. Alamo;E. F. Camacho

  • Input-to-state stable MPC for constrained discrete-time nonlinear systems with bounded additive uncertainties

    D.L. Marruedo;T. Alamo;E.F. Camacho

  • Robust tube-based MPC for tracking of constrained linear systems with additive disturbances

    D. Limon;I. Alvarado;T. Alamo;E.F. Camacho

  • Input-to-State Stability: A Unifying Framework for Robust Model Predictive Control

    D. Limon;T. Alamo;D. M. Raimondo;D. Muñoz de la Peña

  • On the stability of constrained MPC without terminal constraint

    D. Limon;T. Alamo;F. Salas;E.F. Camacho

  • Input to state stability of min-max MPC controllers for nonlinear systems with bounded uncertainties

    D. Limon;T. Alamo;F. Salas;E. F. Camacho

  • Model predictive control techniques for hybrid systems

    E.F. Camacho;D.R. Ramirez;D. Limon;D. Muñoz de la Peña

  • Zonotopic guaranteed state estimation for uncertain systems

    Vu Tuan Hieu Le;Cristina Stoica;Teodoro Alamo;Eduardo F. Camacho

  • Randomized Strategies for Probabilistic Solutions of Uncertain Feasibility and Optimization Problems

    T. Alamo;R. Tempo;E.F. Camacho

  • On input-to-state stability of min-max nonlinear model predictive control

    M Mircea Lazar;D Munoz de la Pena;Wpmh Maurice Heemels;T Alamo

  • Randomized methods for design of uncertain systems

    Teodoro Alamo;Roberto Tempo;Amalia Luque;Daniel R. Ramirez

  • MPC for tracking with optimal closed-loop performance

    A. Ferramosca;D. Limon;I. Alvarado;T. Alamo

  • Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals

    Daniel Limon;Antonio Ferramosca;Ignacio Alvarado;Teodoro Alamo

  • Distributed model predictive control based on agent negotiation

    J.M. Maestre;D. Muñoz de la Peña;E.F. Camacho;T. Alamo

  • Bounded error identification of systems with time-varying parameters

    J.M. Bravo;T. Alamo;E.F. Camacho

  • MPC for tracking with optimal closed-loop performance

    Unknown

  • Stochastic Programming Applied to Model Predictive Control

    D.M. de la Penad;A. Bemporad;T. Alamo

  • Robust MPC of constrained discrete-time nonlinear systems based on approximated reachable sets

    J. M. Bravo;T. Alamo;E. F. Camacho

  • Enlarging the domain of attraction of MPC controllers

    D. Limon;T. Alamo;E. F. Camacho

  • Robust fault detection using zonotope‐based set‐membership consistency test

    Ari Ingimundarson;José Manuel Bravo;Vicenç Puig;Teodoro Alamo

  • Guaranteed state estimation by zonotopes

    T. Alamo;J.M. Bravo;E.F. Camacho

Frequent Co-Authors

Eduardo F. Camacho
Eduardo F. Camacho University of Seville
Vicenç Puig
Vicenç Puig Universitat Politècnica de Catalunya
Carlos Bordons
Carlos Bordons University of Seville
Mircea Lazar
Mircea Lazar Eindhoven University of Technology
Maurice Heemels
Maurice Heemels Eindhoven University of Technology
Alberto Bemporad
Alberto Bemporad IMT Institute for Advanced Studies Lucca
Julio E. Normey-Rico
Julio E. Normey-Rico Universidade Federal de Santa Catarina
Sebastián Dormido
Sebastián Dormido National University of Distance Education
Manuel Berenguel
Manuel Berenguel University of Almería
Colin N. Jones
Colin N. Jones École Polytechnique Fédérale de Lausanne

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