José Ragot

What is he best known for?

The fields of study he is best known for:

• Control theory
• Statistics
• Artificial intelligence

José Ragot spends much of his time researching Control theory, Nonlinear system, Linear matrix inequality, Observer and Lyapunov function. His work carried out in the field of Control theory brings together such families of science as Fault detection and isolation, Stability conditions and System identification. His research in Nonlinear system intersects with topics in Linear system, Takagi sugeno, Control engineering, Mathematical optimization and Residual.

He usually deals with Linear matrix inequality and limits it to topics linked to Actuator and Incidence matrix and Special case. The study incorporates disciplines such as Fault, Estimation and State in addition to Observer. His work on Lyapunov redesign is typically connected to Basis as part of general Lyapunov function study, connecting several disciplines of science.

His most cited work include:

• Design of observers for TakagiߝSugeno descriptor systems with unknown inputs and application to fault diagnosis (172 citations)
• An improved PCA scheme for sensor FDI: Application to an air quality monitoring network (114 citations)
• Brief paper: state estimation of Takagi-Sugeno systems with unmeasurable premise variables (109 citations)

What are the main themes of his work throughout his whole career to date?

José Ragot focuses on Control theory, Nonlinear system, Observer, Fault detection and isolation and Mathematical optimization. His Lyapunov function, Linear matrix inequality, State observer and Linear system study in the realm of Control theory connects with subjects such as State. His work focuses on many connections between Nonlinear system and other disciplines, such as Estimation theory, that overlap with his field of interest in Process.

His Observer research incorporates themes from State variable, Discrete time and continuous time and Fuzzy control system. His work in Fault detection and isolation covers topics such as Redundancy which are related to areas like Observability. José Ragot has researched Mathematical optimization in several fields, including Set, Applied mathematics and Identification.

He most often published in these fields:

• Control theory (59.73%)
• Nonlinear system (34.10%)
• Observer (28.38%)

What were the highlights of his more recent work (between 2013-2021)?

• Control theory (59.73%)
• Nonlinear system (34.10%)
• Observer (28.38%)

In recent papers he was focusing on the following fields of study:

José Ragot mainly investigates Control theory, Nonlinear system, Observer, Estimation theory and Fault detection and isolation. His Control theory research integrates issues from Control engineering, Representation and Residual. His research in Nonlinear system intersects with topics in Algorithm, State, Control theory, Mathematical optimization and Actuator.

The State observer research he does as part of his general Observer study is frequently linked to other disciplines of science, such as State and Premise, therefore creating a link between diverse domains of science. His Estimation theory research includes themes of Class and Damper. José Ragot combines subjects such as Energy balance, Work, Linear matrix inequality, Energy and Component with his study of Fault detection and isolation.

Between 2013 and 2021, his most popular works were:

• Fault detection, isolation and estimation for Takagi–Sugeno nonlinear systems (54 citations)
• Fault detection, isolation and estimation for Takagi–Sugeno nonlinear systems (54 citations)
• Sensor fault tolerant control of nonlinear Takagi–Sugeno systems. Application to vehicle lateral dynamics (29 citations)

In his most recent research, the most cited papers focused on:

• Control theory
• Statistics
• Artificial intelligence

José Ragot mostly deals with Control theory, Observer, Nonlinear system, Residual and Laguerre polynomials. His Control theory research is multidisciplinary, relying on both Control engineering and Fault detection and isolation. His Control engineering research focuses on subjects like Lyapunov function, which are linked to State vector.

The concepts of his Fault detection and isolation study are interwoven with issues in Linear matrix inequality and Linear system. His Observer research incorporates elements of Dynamic Extension, Representation, Algebraic number and Takagi sugeno. His research in the fields of Equilibrium point overlaps with other disciplines such as Point.