What is he best known for?
The fields of study he is best known for:
- Control theory
- Electrical engineering
- Artificial intelligence
His scientific interests lie mostly in Control theory, Bouc–Wen model of hysteresis, Nonlinear system, Structural engineering and Control system.
His Control theory research incorporates themes from Structure, Model predictive control and Computer simulation.
His Bouc–Wen model of hysteresis research is multidisciplinary, relying on both Limit cycle, Restoring force, Bounded function and Differential equation.
His Nonlinear system study incorporates themes from Base isolation and Structural system.
In his work, Bearing is strongly intertwined with Isolator, which is a subfield of Structural engineering.
He has researched Control system in several fields, including Control engineering, Flow control and Active control.
His most cited work include:
- The Hysteresis Bouc-Wen Model, a Survey (395 citations)
- Systems with Hysteresis: Analysis, Identification and Control Using the Bouc-Wen Model (197 citations)
- Q-statistic and T2-statistic PCA-based measures for damage assessment in structures (146 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Control engineering, Control system, Structural engineering and Nonlinear system.
His Control theory study frequently draws parallels with other fields, such as Model predictive control.
His Multivariable calculus and Robust control study in the realm of Control engineering connects with subjects such as Scheme.
His Control system research integrates issues from Automation and Control.
The concepts of his Structural engineering study are interwoven with issues in Vibration and Isolator.
In Nonlinear system, José Rodellar works on issues like Identification, which are connected to Magnetorheological fluid.
He most often published in these fields:
- Control theory (52.48%)
- Control engineering (23.05%)
- Control system (18.44%)
What were the highlights of his more recent work (between 2013-2021)?
- Control theory (52.48%)
- Control engineering (23.05%)
- Model predictive control (14.54%)
In recent papers he was focusing on the following fields of study:
José Rodellar focuses on Control theory, Control engineering, Model predictive control, Artificial intelligence and Pattern recognition.
José Rodellar studies Control theory, namely Control theory.
As part of one scientific family, he deals mainly with the area of Control engineering, narrowing it down to issues related to the Control system, and often Actuator.
His biological study spans a wide range of topics, including Adaptive system, Automatic control and Stability conditions.
His Artificial intelligence research is multidisciplinary, incorporating elements of Peripheral blood and Structural health monitoring.
The study incorporates disciplines such as Structural system, Damper and Nonlinear system in addition to Base isolation.
Between 2013 and 2021, his most popular works were:
- A European Association for the Control of Structures joint perspective. Recent studies in civil structural control across Europe (55 citations)
- Wind turbine fault detection and classification by means of image texture analysis (41 citations)
- Structural damage detection using principal component analysis and damage indices (41 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Control theory
José Rodellar mainly focuses on Artificial intelligence, Pattern recognition, Principal component analysis, Structural health monitoring and Peripheral blood.
His Principal component analysis research incorporates elements of Statistical hypothesis testing, Damage detection, Data mining, Discrete wavelet transform and Data-driven.
His Structural health monitoring study incorporates themes from Random variable, Standard deviation, Field, Stochastic process and Control engineering.
His studies deal with areas such as Manufacturing engineering, Model predictive control and Automatic control as well as Control engineering.
The Peripheral blood study combines topics in areas such as Segmentation, Image processing, Image, Cluster analysis and Lymphocyte.
His Actuator research entails a greater understanding of Control theory.
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