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.
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.
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
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.
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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Practical PID Control
Antonio Visioli.
(2006)
Tuning of PID controllers with fuzzy logic
Antonio Visioli.
IEE Proceedings - Control Theory and Applications (2001)
Tuning rules for optimal PID and fractional-order PID controllers
Fabrizio Padula;Antonio Visioli.
Journal of Process Control (2011)
Global minimum-jerk trajectory planning of robot manipulators
A. Piazzi;A. Visioli.
IEEE Transactions on Industrial Electronics (2000)
PID Control in the Third Millennium
Ramon Vilanova;Antonio Visioli.
(2012)
Optimal tuning of PID controllers for integral and unstable processes
A. Visioli.
IEE Proceedings - Control Theory and Applications (2001)
Digital Control Engineering: Analysis and Design
M. Sami Fadali;Antonio Visioli.
(2019)
Fuzzy logic based set-point weight tuning of PID controllers
A. Visioli.
systems man and cybernetics (1999)
Modified anti-windup scheme for PID controllers
A. Visioli.
IEE Proceedings - Control Theory and Applications (2003)
A new design for a PID plus feedforward controller
Antonio Visioli.
Journal of Process Control (2004)
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