What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Algebra
The scientist’s investigation covers issues in Control theory, Fuzzy control system, Nonlinear system, Lyapunov function and Fuzzy logic.
The Control theory study combines topics in areas such as Quadratic equation and Mathematical optimization.
His Fuzzy control system study typically links adjacent topics like Fuzzy set.
His work in the fields of Nonlinear system, such as Exponential stability, overlaps with other areas such as Convex optimization.
In his research, Piecewise and Linear system is intimately related to Lyapunov exponent, which falls under the overarching field of Lyapunov function.
The study incorporates disciplines such as Nonlinear control, Linear matrix inequality and Robustness in addition to Fuzzy logic.
His most cited work include:
- LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form (730 citations)
- Equivalent consumption minimization strategy for parallel hybrid powertrains (391 citations)
- Control of a parallel hybrid powertrain: optimal control (372 citations)
What are the main themes of his work throughout his whole career to date?
Thierry Marie Guerra mainly investigates Control theory, Fuzzy control system, Lyapunov function, Nonlinear system and Fuzzy logic.
His Control theory study frequently draws parallels with other fields, such as Mathematical optimization.
Thierry Marie Guerra combines subjects such as Control, Adaptive control, Compensation and Robust control with his study of Fuzzy control system.
His Lyapunov function research is multidisciplinary, relying on both Quadratic equation, Discrete time and continuous time and Takagi sugeno.
His work in the fields of Nonlinear system, such as Lyapunov stability and Exponential stability, intersects with other areas such as Convex optimization and Sitting.
Thierry Marie Guerra has included themes like Nonlinear control and Robustness in his Fuzzy logic study.
He most often published in these fields:
- Control theory (78.12%)
- Fuzzy control system (40.62%)
- Lyapunov function (34.77%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (78.12%)
- Nonlinear system (33.59%)
- Observer (20.31%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Nonlinear system, Observer, Fuzzy logic and Fuzzy control system.
His work on Lyapunov function, Stability and Control theory as part of general Control theory research is frequently linked to Convex optimization, bridging the gap between disciplines.
His work carried out in the field of Lyapunov function brings together such families of science as Feedback linearization and Computational intelligence.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Optimization problem and Takagi sugeno.
His study in Observer is interdisciplinary in nature, drawing from both Differential and Torque.
His study explores the link between Fuzzy control system and topics such as Linear matrix inequality that cross with problems in Robust control.
Between 2016 and 2021, his most popular works were:
- Asymptotically necessary and sufficient conditions for TakagiSugeno models using generalized non-quadratic parameter-dependent controller design (27 citations)
- $H\infty$ LMI-Based Observer Design for Nonlinear Systems via Takagi–Sugeno Models With Unmeasured Premise Variables (24 citations)
- Dynamically Closed-Loop Controlled Soft Robotic Arm using a Reduced Order Finite Element Model with State Observer (15 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Algebra
His primary scientific interests are in Control theory, Linear matrix inequality, Lyapunov function, Nonlinear system and Observer.
His studies examine the connections between Control theory and genetics, as well as such issues in Fuzzy logic, with regards to Simple.
His studies in Linear matrix inequality integrate themes in fields like Computational complexity theory and Computer hardware.
The concepts of his Lyapunov function study are interwoven with issues in Variable, Feedback linearization and Computational intelligence.
He focuses mostly in the field of Nonlinear system, narrowing it down to matters related to Representation and, in some cases, Differential and Interpolation.
His biological study spans a wide range of topics, including Reduction and Redundancy.
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