2023 - Research.com Electronics and Electrical Engineering in Brazil Leader Award
2022 - Research.com Electronics and Electrical Engineering in Brazil Leader Award
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.
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.
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.
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.
A new discrete-time robust stability condition
M.C. de Oliveira;J. Bernussou;J.C. Geromel.
Systems & Control Letters (1999)
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)
Stability and Stabilization of Continuous-Time Switched Linear Systems
Jose´ C. Geromel;Patrizio Colaneri.
Siam Journal on Control and Optimization (2006)
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)
Brief An improved approach for constrained robust model predictive control
Francesco A. Cuzzola;Jose C. Geromel;Manfred Morari.
Automatica (2002)
a linear programming oriented procedure for quadratic stabilization of uncertain systems
J. Bernussou;P. L.D. Peres;J. C. Geromel.
Systems & Control Letters (1989)
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)
Stability and stabilization of discrete time switched systems
J. C. Geromel;P. Colaneri.
International Journal of Control (2006)
Optimal linear filtering under parameter uncertainty
J.C. Geromel.
IEEE Transactions on Signal Processing (1999)
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)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Polytechnic University of Milan
State University of Campinas
University of Lorraine
Federal University of Rio de Janeiro
Universidade de São Paulo
Imperial College London
University of Newcastle Australia
Imperial College London
Texas A&M University
University of Houston
University of Illinois at Urbana-Champaign
Texas State University
Qualcomm (United States)
Forschungszentrum Jülich
Soochow University
Shinshu University
Stowers Institute for Medical Research
Washington University in St. Louis
University of Valencia
Brigham and Women's Hospital
Flinders University
University of Tübingen
University of Szeged
Yale University
Columbia University
London School of Economics and Political Science