World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
7256
World Ranking
4467
National Ranking
80

Overview

Daniel Limon is affiliated with the University of Seville in Spain and has contributed extensively to the field of engineering, focusing particularly on control and systems engineering. Their research spans several subfields including electrical and electronic engineering, industrial and manufacturing engineering, ocean engineering, and environmental engineering.

The scientist's main topics of research include advanced control systems optimization, fault detection and control systems, control systems and identification, iterative learning control systems, maritime ports and logistics, maritime navigation and safety, and adaptive control of nonlinear systems.

Daniel Limon has published papers in several well-known venues, including:

  • International Journal of Robust and Nonlinear Control
  • Automatica
  • IEEE Transactions on Control Systems Technology
  • Ocean Engineering
  • Systems & Control Letters

Some recent notable publications are:

  • "Online learning-based model predictive control with Gaussian process models and stability guarantees" (2021, International Journal of Robust and Nonlinear Control)
  • "Robust learning-based MPC for nonlinear constrained systems" (2020, Automatica)
  • "Implementation of Model Predictive Control in Programmable Logic Controllers" (2020, IEEE Transactions on Control Systems Technology)
  • "Nonlinear model predictive control-based guidance law for path following of unmanned surface vehicles" (2022, Ocean Engineering)
  • "Stability properties of multi-stage nonlinear model predictive control" (2020, Systems & Control Letters)

Frequent co-authors collaborating with Daniel Limon include:

  • Teodoro Álamo
  • Juan Moreno Nadales
  • David Muñoz de la Peña
  • Pablo Krupa
  • José María Manzano

The scientist regularly publishes in venues such as arXiv (Cornell University), IFAC-PapersOnLine, IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, and Automatica.

In addition to articles, Daniel Limon has contributing authorship to books published by Springer Nature and Universidad de Guadalajara eBooks. Titles include "Optimal Vessel Planning in Natural Inland Waterways" (2024) and "Mar de voces. Antología literaria de docentes del SEMS 2020" (2021).

Best Publications

  • 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

  • Min-max model predictive control of nonlinear systems : a unifying overview on stability

    Davide Martino Raimondo;Daniel Limon;Mircea Lazar;Lalo Magni

  • On the stability of constrained MPC without terminal constraint

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

  • A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark

    I. Alvarado;D. Limon;D. Muñoz de la Peña;J.M. Maestre

  • 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

  • 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

  • MPC for tracking with optimal closed-loop performance

    Unknown

  • Enlarging the domain of attraction of MPC controllers

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

  • On the computation of invariant sets for constrained nonlinear systems: An interval arithmetic approach

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

  • Improved computation of ellipsoidal invariant sets for saturated control systems

    T. Alamo;A. Cepeda;D. Limon

  • Cooperative distributed MPC for tracking

    A. Ferramosca;D. Limon;I. Alvarado;E. F. Camacho

  • Robust MPC of constrained nonlinear systems based on interval arithmetic

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

  • MPC FOR TRACKING OF PIECE-WISE CONSTANT REFERENCES FOR CONSTRAINED LINEAR SYSTEMS

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

  • Economic MPC for a Changing Economic Criterion for Linear Systems

    Antonio Ferramosca;Daniel Limon;Eduardo F. Camacho

  • MPC for tracking zone regions

    Antonio Ferramosca;Daniel Limon;Alejandro Hernán González;Alejandro Hernán González;Darci Odloak

  • Stability analysis of systems with bounded additive uncertainties based on invariant sets: Stability and feasibility of MPC

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

Frequent Co-Authors

Teodoro Alamo
Teodoro Alamo University of Seville
Eduardo F. Camacho
Eduardo F. Camacho University of Seville
D. Muñoz de la Peña
D. Muñoz de la Peña University of Seville
Julio E. Normey-Rico
Julio E. Normey-Rico Universidade Federal de Santa Catarina
Rolf Findeisen
Rolf Findeisen Technical University of Darmstadt
Colin N. Jones
Colin N. Jones École Polytechnique Fédérale de Lausanne
Frank Allgöwer
Frank Allgöwer University of Stuttgart
Lalo Magni
Lalo Magni University of Pavia
James B. Rawlings
James B. Rawlings University of California, Santa Barbara
Mircea Lazar
Mircea Lazar Eindhoven University of Technology

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