D-Index & Metrics Best Publications
Electronics and Electrical Engineering
Brazil
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 57 Citations 14,246 244 World Ranking 1150 National Ranking 1

Research.com Recognitions

Awards & Achievements

2023 - Research.com Electronics and Electrical Engineering in Brazil Leader Award

2022 - Research.com Electronics and Electrical Engineering in Brazil Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Mathematical analysis
  • Mathematical optimization

Jose C. Geromel mainly investigates Control theory, Linear matrix inequality, Linear system, Mathematical optimization and Convex optimization. His study in Optimal control, Robust control, Lyapunov function, Stability and Output feedback falls under the purview of Control theory. His Linear matrix inequality research focuses on subjects like Applied mathematics, which are linked to Discrete mathematics, Markov kernel, Markov property, Markov model and Markov chain mixing time.

His research in Linear system intersects with topics in Control engineering, Upper and lower bounds and Symmetric matrix. His research integrates issues of Markov renewal process and Variable-order Markov model in his study of Mathematical optimization. His study on Convex set is often connected to Norm and Positive-definite matrix as part of broader study in Convex optimization.

His most cited work include:

  • Brief An improved approach for constrained robust model predictive control (337 citations)
  • Brief paper: Dynamic output feedback H∞ control of switched linear systems (161 citations)
  • Brief Continuous-time state-feedback H2-control of Markovian jump linear systems via convex analysis (142 citations)

What are the main themes of his work throughout his whole career to date?

Jose C. Geromel spends much of his time researching Control theory, Linear system, Mathematical optimization, Convex optimization and Linear matrix inequality. His research combines Upper and lower bounds and Control theory. The various areas that Jose C. Geromel examines in his Linear system study include Lyapunov function, Norm, Linear-quadratic-Gaussian control, Applied mathematics and Function.

His Mathematical optimization study combines topics from a wide range of disciplines, such as Stability, Filter design, Decentralised system and Nonlinear system. His research in the fields of Convex set overlaps with other disciplines such as Minimax and State. His work carried out in the field of Linear matrix inequality brings together such families of science as Nonlinear control and Kalman filter.

He most often published in these fields:

  • Control theory (72.73%)
  • Linear system (48.64%)
  • Mathematical optimization (30.45%)

What were the highlights of his more recent work (between 2011-2021)?

  • Control theory (72.73%)
  • Linear system (48.64%)
  • Applied mathematics (16.82%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Control theory, Linear system, Applied mathematics, Mathematical optimization and Discrete time and continuous time. Jose C. Geromel conducted interdisciplinary study in his works that combined Control theory and Context. Jose C. Geromel integrates Linear system and Convex optimization in his studies.

The concepts of his Applied mathematics study are interwoven with issues in Numerical analysis, Symmetric matrix, Interval and Bellman equation. His work deals with themes such as Saddle point and Linear parameter-varying control, which intersect with Mathematical optimization. His Discrete time and continuous time research is multidisciplinary, incorporating elements of Linear matrix and Exponential function.

Between 2011 and 2021, his most popular works were:

  • A Nonconservative LMI Condition for Stability of Switched Systems With Guaranteed Dwell Time (116 citations)
  • Discrete-Time Switched Linear Systems State Feedback Design With Application to Networked Control (60 citations)
  • Suboptimal Switching Control Consistency Analysis for Switched Linear Systems (53 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Mathematical analysis
  • Mathematical optimization

His primary areas of study are Control theory, Linear system, Function, Linear matrix inequality and Discrete time and continuous time. His Control theory research integrates issues from Upper and lower bounds, State and Applied mathematics. He combines subjects such as Center and Lyapunov equation with his study of Applied mathematics.

The study incorporates disciplines such as Stability, State, Mathematical optimization, Linear-quadratic-Gaussian control and Robustness in addition to Linear system. His Mathematical optimization research incorporates themes from Sequence and Representation. His studies deal with areas such as Time domain, Passivity and Frequency domain as well as Function.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A new discrete-time robust stability condition

M.C. de Oliveira;J. Bernussou;J.C. Geromel.
Systems & Control Letters (1999)

1817 Citations

Extended H 2 and H norm characterizations and controller parametrizations for discrete-time systems

M. C. De Oliveira;J. C. Geromel;J. Bernussou.
International Journal of Control (2002)

832 Citations

Stability and Stabilization of Continuous-Time Switched Linear Systems

Jose´ C. Geromel;Patrizio Colaneri.
Siam Journal on Control and Optimization (2006)

548 Citations

Output feedback control of Markov jump linear systems in continuous-time

D.P. De Farias;J.C. Geromel;J.B.R. Do Val;O.L.V. Costa.
IEEE Transactions on Automatic Control (2000)

485 Citations

Brief An improved approach for constrained robust model predictive control

Francesco A. Cuzzola;Jose C. Geromel;Manfred Morari.
Automatica (2002)

475 Citations

a linear programming oriented procedure for quadratic stabilization of uncertain systems

J. Bernussou;P. L.D. Peres;J. C. Geromel.
Systems & Control Letters (1989)

448 Citations

On a convex parameter space method for linear control design of uncertain systems

J. C. Geromel;P. L. D. Peres;J. Bernussou.
Siam Journal on Control and Optimization (1991)

416 Citations

Stability and stabilization of discrete time switched systems

J. C. Geromel;P. Colaneri.
International Journal of Control (2006)

376 Citations

Optimal linear filtering under parameter uncertainty

J.C. Geromel.
IEEE Transactions on Signal Processing (1999)

363 Citations

Robust Filtering of Discrete-Time Linear Systems with Parameter Dependent Lyapunov Functions

J. C. Geromel;M. C. de Oliveira;J. Bernussou.
Siam Journal on Control and Optimization (2002)

313 Citations

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