What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Algorithm
Control theory, Linear matrix inequality, Mathematical optimization, Lyapunov function and Robust control are his primary areas of study.
His Control theory research is multidisciplinary, incorporating perspectives in Time complexity and Quadratic equation.
His biological study spans a wide range of topics, including MATLAB and Output feedback.
As a part of the same scientific study, Dimitri Peaucelle usually deals with the Lyapunov function, concentrating on Uncertain systems and frequently concerns with Relevance and Non convex optimization.
His research investigates the connection between Robust control and topics such as LTI system theory that intersect with problems in Lemma, Stability theory, Pole location and Linear map.
The various areas that he examines in his Quadratic stability study include Stability, D stability, Multiobjective programming, Control synthesis and Convex polytope.
His most cited work include:
- A new robust D-stability condition for real convex polytopic uncertainty (626 citations)
- DELAY-DEPENDENT STABILITY ANALYSIS OF LINEAR TIME DELAY SYSTEMS (167 citations)
- Quadratic separation for feedback connection of an uncertain matrix and an implicit linear transformation (117 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Robust control, Robustness, Mathematical optimization and Lyapunov function.
Dimitri Peaucelle applies his multidisciplinary studies on Control theory and Parametric statistics in his research.
The concepts of his Robust control study are interwoven with issues in Linear matrix inequality, Discrete time and continuous time and Quadratic equation.
His study looks at the relationship between Robustness and topics such as Computation, which overlap with Upper and lower bounds.
Dimitri Peaucelle interconnects Quadratic stability, Linear matrix and MATLAB in the investigation of issues within Mathematical optimization.
His Lyapunov function research incorporates themes from Stability, Uncertain systems, Parameter dependent and Affine transformation.
He most often published in these fields:
- Control theory (89.33%)
- Robust control (38.76%)
- Robustness (33.71%)
What were the highlights of his more recent work (between 2015-2021)?
- Control theory (89.33%)
- Robustness (33.71%)
- Discrete time and continuous time (13.48%)
In recent papers he was focusing on the following fields of study:
Dimitri Peaucelle mainly investigates Control theory, Robustness, Discrete time and continuous time, Positive systems and Mathematical optimization.
His Control theory research incorporates elements of Control engineering and Convex optimization.
His research integrates issues of Bilinear matrix inequality, Simulation and Heuristics in his study of Robustness.
His Discrete time and continuous time research is multidisciplinary, incorporating elements of Norm, Linear system and Applied mathematics.
His study looks at the relationship between Mathematical optimization and fields such as Affine transformation, as well as how they intersect with chemical problems.
His work carried out in the field of Linear matrix inequality brings together such families of science as Exponential stability, Robust control and Stability conditions.
Between 2015 and 2021, his most popular works were:
- From static output feedback to structured robust static output feedback: A survey (92 citations)
- Analysis and synthesis of interconnected positive systems (60 citations)
- Steady-state analysis of delay interconnected positive systems and its application to formation control (15 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Algorithm
The scientist’s investigation covers issues in Control theory, Linear matrix inequality, Positive systems, Exponential stability and Linear system.
The study incorporates disciplines such as Topology and Affine transformation in addition to Control theory.
Dimitri Peaucelle combines subjects such as Lyapunov function and Convex optimization with his study of Linear matrix inequality.
His study on Positive systems also encompasses disciplines like
- Multi-agent system which is related to area like Frequency domain, Bounded function, State and Constant,
- Scalar multiplication which connect with Multiplicative function, Nonnegative matrix, Norm, Metzler matrix and Eigenvalues and eigenvectors.
His Exponential stability study integrates concerns from other disciplines, such as Stability conditions, Quadratic equation, Linear map and Sequence.
His research in Linear system intersects with topics in Control engineering, Control, Discrete time and continuous time and Nonlinear system.
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