What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
Ricardo C. L. F. Oliveira mainly investigates Control theory, Linear matrix inequality, Lyapunov function, Linear system and Robust control.
His Control theory research integrates issues from Interval, Polytope and Unit circle.
His Linear matrix inequality research is multidisciplinary, incorporating elements of State-transition matrix, LTI system theory, Numerical stability and Fuzzy control system.
Ricardo C. L. F. Oliveira has included themes like Discrete time and continuous time and Mathematical optimization in his Lyapunov function study.
His research integrates issues of Simplex, Applied mathematics and Polynomial, Matrix polynomial in his study of Linear system.
His Robust control study is related to the wider topic of Robustness.
His most cited work include:
- Parameter-Dependent LMIs in Robust Analysis: Characterization of Homogeneous Polynomially Parameter-Dependent Solutions Via LMI Relaxations (328 citations)
- LMI conditions for robust stability analysis based on polynomially parameter-dependent Lyapunov functions (174 citations)
- Stability of polytopes of matrices via affine parameter-dependent lyapunov functions : Asymptotically exact LMI conditions (136 citations)
What are the main themes of his work throughout his whole career to date?
Ricardo C. L. F. Oliveira mainly focuses on Control theory, Linear system, Linear matrix inequality, Lyapunov function and Discrete time and continuous time.
His work carried out in the field of Control theory brings together such families of science as Polynomial and Filter design.
His research investigates the connection between Linear system and topics such as Mathematical optimization that intersect with issues in Fuzzy number and Defuzzification.
Cartesian product is closely connected to Bounded function in his research, which is encompassed under the umbrella topic of Linear matrix inequality.
His study in Lyapunov function is interdisciplinary in nature, drawing from both Upper and lower bounds, Applied mathematics and Polytope.
His Discrete time and continuous time study combines topics from a wide range of disciplines, such as Full state feedback and H-infinity methods in control theory.
He most often published in these fields:
- Control theory (78.22%)
- Linear system (35.15%)
- Linear matrix inequality (32.67%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (78.22%)
- Discrete time and continuous time (23.27%)
- Robust control (19.31%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Control theory, Discrete time and continuous time, Robust control, Linear matrix inequality and Linear system.
His work in the fields of Control theory, Linear matrix and Robustness overlaps with other areas such as Grid.
His work deals with themes such as Particle swarm optimization and MATLAB, which intersect with Robust control.
His Linear matrix inequality research incorporates elements of Slack variable, Lyapunov function, Output feedback and Discrete time nonlinear systems.
His Lyapunov function study integrates concerns from other disciplines, such as Stability and Applied mathematics.
His Linear system research includes elements of Iterative method, Mathematical optimization, Polynomial and Symmetric matrix.
Between 2018 and 2021, his most popular works were:
- Algorithm 998: The Robust LMI Parser—A Toolbox to Construct LMI Conditions for Uncertain Systems (22 citations)
- A practical design procedure for robust H2 controllers applied to grid-connected inverters (5 citations)
- Robust $\mathcal {H}_{\infty }$ State Feedback Controllers Based on Linear Matrix Inequalities Applied to Grid-Connected Converters (4 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
His scientific interests lie mostly in Control theory, Linear matrix, Grid, Robustness and Robust control.
His biological study focuses on Discrete time and continuous time.
His Discrete time and continuous time study deals with Fuzzy control system intersecting with Nonlinear system.
Ricardo C. L. F. Oliveira interconnects Norm and Digital control in the investigation of issues within Linear matrix.
His Robust control research incorporates themes from Toolbox, MATLAB, Linear system and Mathematical optimization.
His Stability research focuses on subjects like Linear matrix inequality, which are linked to Polynomial.
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