What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
Antonio Loria mostly deals with Control theory, Exponential stability, Nonlinear system, Adaptive control and Lyapunov function.
His research on Control theory often connects related areas such as Control engineering.
His studies in Control engineering integrate themes in fields like Robot, Mobile robot, Duffing equation and Estimation theory.
The concepts of his Exponential stability study are interwoven with issues in Bounded function and Mathematical analysis.
Antonio Loria has researched Adaptive control in several fields, including Excitation and Nonholonomic system.
His study in Control theory is interdisciplinary in nature, drawing from both Tracking, Artificial intelligence, Robotics and Euler lagrange.
His most cited work include:
- Passivity-based Control of Euler-Lagrange Systems (1121 citations)
- Control of Robot Manipulators in Joint Space (478 citations)
- On global uniform asymptotic stability of nonlinear time-varying systems in cascade (206 citations)
What are the main themes of his work throughout his whole career to date?
Antonio Loria mostly deals with Control theory, Exponential stability, Nonlinear system, Control theory and Lyapunov function.
His research in Control theory intersects with topics in Control engineering and Nonholonomic system.
In his study, Swarm behaviour is strongly linked to Robot, which falls under the umbrella field of Exponential stability.
His work on Nonlinear control as part of general Nonlinear system research is frequently linked to Cascade, thereby connecting diverse disciplines of science.
His research in Control theory tackles topics such as Stator which are related to areas like Switched reluctance motor.
He combines subjects such as Linear system, Mathematical analysis and Lyapunov stability with his study of Lyapunov function.
He most often published in these fields:
- Control theory (80.95%)
- Exponential stability (50.79%)
- Nonlinear system (33.73%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (80.95%)
- Lyapunov function (24.21%)
- Control theory (30.95%)
In recent papers he was focusing on the following fields of study:
Control theory, Lyapunov function, Control theory, Exponential stability and Nonholonomic system are his primary areas of study.
Antonio Loria performs multidisciplinary studies into Control theory and Graph in his work.
He has included themes like Systems theory, Estimation, LTI system theory and Adaptive control in his Lyapunov function study.
His Control theory study combines topics from a wide range of disciplines, such as Robot, Differentiable function, Topology and Trajectory.
His work carried out in the field of Exponential stability brings together such families of science as Stability, Directed graph, Linear system and Robustness.
His biological study spans a wide range of topics, including Point and Bounded function.
Between 2017 and 2021, his most popular works were:
- Formation-Tracking Control of Autonomous Vehicles Under Relaxed Persistency of Excitation Conditions (17 citations)
- Consensus of Multi-Agent Systems With Nonholonomic Restrictions via Lyapunov’s Direct Method (12 citations)
- A Cascades Approach to Formation-Tracking Stabilization of Force-Controlled Autonomous Vehicles (9 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
His main research concerns Control theory, Lyapunov function, Control theory, Trajectory and Exponential stability.
Antonio Loria studies Control theory, namely Adaptive observer.
Antonio Loria works mostly in the field of Lyapunov function, limiting it down to concerns involving Linear system and, occasionally, Total derivative, Constant, Function and Adaptive control.
His Trajectory research is multidisciplinary, incorporating perspectives in Robot, Tracking and Robot kinematics.
Antonio Loria works mostly in the field of Tracking, limiting it down to topics relating to Algorithm and, in certain cases, Observer.
His Exponential stability study combines topics in areas such as Current, Estimation, Mathematical optimization and Nonholonomic system.
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