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.
Brief An improved approach for constrained robust model predictive control
Francesco A. Cuzzola;Jose C. Geromel;Manfred Morari.
Automatica (2002)
Brief paper: Dynamic output feedback H∞ control of switched linear systems
Grace S. Deaecto;José C. Geromel;Jamal Daafouz.
web science (2011)
Switched affine systems control design with application to DCߝDC converters
G.S. Deaecto;J.C. Geromel;F.S. Garcia;J.A. Pomilio.
Iet Control Theory and Applications (2010)
Brief The H2-control for jump linear systems: cluster observations of the Markov state
JoãAo B. R. Do Val;Josè C. Geromel;Alim P. C. GonçAlves.
web science (2002)
Linear quadratic suboptimal control with static output feedback
T. Iwasaki;R. E. Skelton;J. C. Geromel.
Systems & Control Letters (1994)
Brief Continuous-time state-feedback H2-control of Markovian jump linear systems via convex analysis
O. L. V. Costa;J. B. R. Do Val;J. C. Geromel.
Automatica (1999)
Convex analysis of output feedback control problems: robust stability and performance
J.C. Geromel;P.L.D. Peres;S.R. Souza.
IEEE Transactions on Automatic Control (1996)
H/sub 2/-norm optimization with constrained dynamic output feedback controllers: decentralized and reliable control
J.C. Geromel;J. Bernussou;M.C. de Oliveira.
IEEE Transactions on Automatic Control (1999)
${\cal H}_{\infty}$ Filtering of Discrete-Time Markov Jump Linear Systems Through Linear Matrix Inequalities
A. Goncalves;A.R. Fioravanti;J.C. Geromel.
IEEE Transactions on Automatic Control (2009)
Stabilization of continuous-time switched nonlinear systems ☆
Patrizio Colaneri;José Claudio Geromel;Alessandro Astolfi;Alessandro Astolfi.
Systems & Control Letters (2008)
Profile was last updated on December 6th, 2021.
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