What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Algorithm
His main research concerns Control theory, Fault detection and isolation, Control engineering, Robustness and Actuator.
His Control theory study frequently draws connections to adjacent fields such as Mathematical optimization.
The study incorporates disciplines such as Bounded function, Interval, Fault coverage and Benchmark in addition to Fault detection and isolation.
He has researched Control engineering in several fields, including Flow control, Linear system, Least squares and Operating point.
His Robustness study incorporates themes from Algorithm, Interval arithmetic and Interval model.
His work carried out in the field of Actuator brings together such families of science as Fault tolerance and Bounding overwatch.
His most cited work include:
- Optimal control of urban drainage systems. A case study (150 citations)
- Application of predictive control strategies to the management of complex networks in the urban water cycle [Applications of Control] (143 citations)
- Methodology for leakage isolation using pressure sensitivity analysis in water distribution networks (117 citations)
What are the main themes of his work throughout his whole career to date?
Vicenç Puig spends much of his time researching Control theory, Fault detection and isolation, Model predictive control, Control engineering and Control theory.
The study of Control theory is intertwined with the study of Fault tolerance in a number of ways.
His Fault tolerance research integrates issues from Control system and Control reconfiguration.
His studies examine the connections between Fault detection and isolation and genetics, as well as such issues in Residual, with regards to Interval model.
His Model predictive control study combines topics from a wide range of disciplines, such as Mathematical optimization, Optimal control and Water supply.
His Control theory research is multidisciplinary, incorporating perspectives in Trajectory, Lyapunov function and Operating point.
He most often published in these fields:
- Control theory (57.86%)
- Fault detection and isolation (32.75%)
- Model predictive control (23.49%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (57.86%)
- Model predictive control (23.49%)
- Control theory (21.44%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Model predictive control, Control theory, Observer and Fault detection and isolation.
His studies deal with areas such as Representation and Bounded function as well as Control theory.
His study in Model predictive control is interdisciplinary in nature, drawing from both Scheduling, Real-time Control System and Optimization problem, Mathematical optimization.
Vicenç Puig focuses mostly in the field of Control theory, narrowing it down to topics relating to Control reconfiguration and, in certain cases, Control system.
His Observer study integrates concerns from other disciplines, such as Kalman filter and Interval.
His research on Fault detection and isolation often connects related areas such as Algorithm.
Between 2017 and 2021, his most popular works were:
- Set-membership approach and Kalman observer based on zonotopes for discrete-time descriptor systems (34 citations)
- State estimation and decoupling of unknown inputs in uncertain LPV systems using interval observers (30 citations)
- Autonomous vehicle control using a kinematic Lyapunov-based technique with LQR-LMI tuning (28 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Algorithm
Vicenç Puig mainly investigates Control theory, Fault detection and isolation, Model predictive control, Observer and Algorithm.
Vicenç Puig has included themes like Bounded function and Loop in his Control theory study.
He interconnects Uncertain systems, Residual, Interval and Viability theory in the investigation of issues within Fault detection and isolation.
His research in Model predictive control intersects with topics in Real-time Control System, Scheduling, Adaptive control and Reliability engineering.
Vicenç Puig focuses mostly in the field of Algorithm, narrowing it down to matters related to Sensitivity and, in some cases, Filter.
His Actuator research is multidisciplinary, relying on both Control engineering, State variable and Icing, Ice accretion.
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