What is she best known for?
The fields of study she is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
Her scientific interests lie mostly in Control theory, Linear system, Nonlinear system, Stability and Mathematical optimization.
Her Control theory research is multidisciplinary, relying on both State and Stability conditions.
The concepts of her Linear system study are interwoven with issues in Actuator, Linear-quadratic-Gaussian control, Absolute stability, Lemma and Dead zone.
Her biological study spans a wide range of topics, including Control engineering, Real-time Control System, Bounded function, Frequency domain and Quantifier elimination.
Her Stability research is multidisciplinary, incorporating elements of Actuator saturation and Robust control.
Her work deals with themes such as Class, Control theory, Algebraic number and Riccati equation, which intersect with Mathematical optimization.
Her most cited work include:
- Antiwindup design with guaranteed regions of stability: an LMI-based approach (430 citations)
- Anti-windup design: an overview of some recent advances and open problems (407 citations)
- Stability and Stabilization of Linear Systems with Saturating Actuators (404 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Control theory, Linear system, Exponential stability, Nonlinear system and Control theory.
The various areas that Sophie Tarbouriech examines in her Control theory study include State, Bounded function and Mathematical optimization.
The study incorporates disciplines such as Control system, Linear matrix inequality, Lyapunov function and Stability conditions in addition to Linear system.
Her Exponential stability study incorporates themes from Observer, Hybrid system, Applied mathematics, Symmetric matrix and Domain.
Her work on Anti windup, Nonlinear control and Equilibrium point as part of general Nonlinear system study is frequently linked to Constructive, bridging the gap between disciplines.
Control theory is frequently linked to Reset in her study.
She most often published in these fields:
- Control theory (85.94%)
- Linear system (40.32%)
- Exponential stability (28.65%)
What were the highlights of her more recent work (between 2015-2021)?
- Control theory (85.94%)
- Exponential stability (28.65%)
- Linear system (40.32%)
In recent papers she was focusing on the following fields of study:
Sophie Tarbouriech mainly focuses on Control theory, Exponential stability, Linear system, Nonlinear system and Control.
Sophie Tarbouriech applies her multidisciplinary studies on Control theory and Convex optimization in her research.
She has researched Exponential stability in several fields, including Lyapunov function, Bounded function, Mathematical optimization, Hybrid system and Applied mathematics.
In her study, Dead zone is inextricably linked to Linear matrix inequality, which falls within the broad field of Linear system.
Her study on Nonlinear control and Backstepping is often connected to Energy and Synchronization as part of broader study in Nonlinear system.
Her Control study combines topics from a wide range of disciplines, such as Stability and Discrete time and continuous time.
Between 2015 and 2021, her most popular works were:
- State estimation of linear systems in the presence of sporadic measurements (40 citations)
- LQ-based event-triggered controller co-design for saturated linear systems (39 citations)
- Disturbance-to-State Stabilization and Quantized Control for Linear Hyperbolic Systems. (37 citations)
In her most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
Sophie Tarbouriech mostly deals with Control theory, Exponential stability, Linear system, Lyapunov function and Observer.
Her Control theory research integrates issues from Bounded function and Mathematical optimization.
Sophie Tarbouriech combines subjects such as Base, Quantization and Linear matrix with her study of Exponential stability.
As a part of the same scientific study, she usually deals with the Linear system, concentrating on Logarithm and frequently concerns with Attractor.
Her study explores the link between Observer and topics such as Hybrid system that cross with problems in Convergence, Compact space, Asynchronous communication and Linear dynamical system.
Her Nonlinear system research is multidisciplinary, incorporating perspectives in Wave equation and Differential equation.
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