What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Electrical engineering
His main research concerns Control theory, PID controller, Control engineering, Control theory and Feed forward.
His biological study spans a wide range of topics, including Robot and Process.
His work focuses on many connections between Process and other disciplines, such as Stability, that overlap with his field of interest in Maxima and minima and Equilibrium point.
His research in PID controller intersects with topics in Control system, Adaptive neuro fuzzy inference system, Fuzzy control system, Fuzzy logic and Defuzzification.
His Control engineering study which covers Model predictive control that intersects with Multivariable calculus.
His Feed forward research is multidisciplinary, incorporating elements of Process control, Linear system, Reduction and Filter design.
His most cited work include:
- Practical PID Control (378 citations)
- Tuning rules for optimal PID and fractional-order PID controllers (294 citations)
- Tuning of PID controllers with fuzzy logic (292 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, PID controller, Control engineering, Control system and Control theory.
The study incorporates disciplines such as Control and Process in addition to Control theory.
His study in PID controller is interdisciplinary in nature, drawing from both Servo, Anesthesia, Automatic control and Bispectral index.
Antonio Visioli has included themes like Step response, Process control, Industrial robot and Digital control in his Control engineering study.
The various areas that Antonio Visioli examines in his Control system study include Control variable and Linear system.
His research integrates issues of Stability, Event and Dead time in his study of Control theory.
He most often published in these fields:
- Control theory (74.33%)
- PID controller (42.09%)
- Control engineering (37.01%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (74.33%)
- PID controller (42.09%)
- Control system (25.97%)
In recent papers he was focusing on the following fields of study:
Antonio Visioli focuses on Control theory, PID controller, Control system, Control theory and Control.
His Control theory research integrates issues from Robot and Model predictive control.
His study on PID controller also encompasses disciplines like
- Bispectral index together with Remifentanil,
- Limit cycle and related Sampling.
His Control system study incorporates themes from Control variable, Process control and Control engineering, Feed forward.
His Control theory study combines topics from a wide range of disciplines, such as Particle swarm optimization, Actuator and Sensitivity.
The concepts of his Control study are interwoven with issues in Event, Mechatronics and Overhead crane.
Between 2016 and 2021, his most popular works were:
- Digital Control Engineering: Analysis and Design (88 citations)
- Optimized PID control of depth of hypnosis in anesthesia (40 citations)
- Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models (32 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Electrical engineering
Control theory, PID controller, Control system, Robustness and Control theory are his primary areas of study.
His work on Actuator as part of general Control theory research is frequently linked to Curve fitting, thereby connecting diverse disciplines of science.
To a larger extent, Antonio Visioli studies Control engineering with the aim of understanding PID controller.
His studies in Control engineering integrate themes in fields like Automatic tuning and Feature.
His Control system study combines topics in areas such as Linear system, Digital control and Mathematical maturity.
Antonio Visioli combines subjects such as Event, Bispectral index and Control with his study of Control theory.
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