What is he best known for?
The fields of study he is best known for:
- Control theory
- Electrical engineering
- Mathematical analysis
Romeo Ortega mainly investigates Control theory, Nonlinear control, Nonlinear system, Control theory and Control engineering.
His biological study spans a wide range of topics, including Induction motor and Hamiltonian system.
The Nonlinear control study combines topics in areas such as Mechanical system, Partial differential equation, Lyapunov function and Underactuation.
Romeo Ortega interconnects Monotonic function, Actuator and Sensitivity in the investigation of issues within Nonlinear system.
His research investigates the connection with Control theory and areas like Synchronous motor which intersect with concerns in Proportional control and Rotor.
His Control engineering study combines topics in areas such as Control system, Robotics, Torque and Transient.
His most cited work include:
- Passivity-based Control of Euler-Lagrange Systems (1121 citations)
- Interconnection and damping assignment passivity-based control of port-controlled Hamiltonian systems (1115 citations)
- Adaptive motion control of rigid robots: a tutorial (1067 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Nonlinear system, Control theory, Passivity and Adaptive control.
The Control theory study which covers Control engineering that intersects with Robot.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Function, Partial differential equation, Applied mathematics and Observer.
The study incorporates disciplines such as Control system, Induction motor, Stability, Stability and Transient in addition to Control theory.
His Passivity research includes elements of PID controller, Converters, Interconnection and Hamiltonian system.
His study looks at the intersection of Adaptive control and topics like Estimator with Estimation theory.
He most often published in these fields:
- Control theory (90.60%)
- Nonlinear system (36.90%)
- Control theory (29.05%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (90.60%)
- Nonlinear system (36.90%)
- Observer (10.60%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Nonlinear system, Observer, Estimation theory and Control theory.
He works in the field of Control theory, focusing on Passivity in particular.
The concepts of his Nonlinear system study are interwoven with issues in Function, State, Dynamical system and Invariant.
In general Observer study, his work on State observer often relates to the realm of Observable and Rate of convergence, thereby connecting several areas of interest.
Romeo Ortega has included themes like Magnetic flux, Adaptive control and Applied mathematics in his Estimation theory study.
The Control theory study combines topics in areas such as Voltage droop, Stability, Electrical network, Constant and Nonholonomic system.
Between 2017 and 2021, his most popular works were:
- PID Passivity-Based Control of Port-Hamiltonian Systems (50 citations)
- Achieving Consensus of Euler–Lagrange Agents With Interconnecting Delays and Without Velocity Measurements via Passivity-Based Control (28 citations)
- On dynamic regressor extension and mixing parameter estimators: Two Luenberger observers interpretations (25 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Electrical engineering
His scientific interests lie mostly in Control theory, Nonlinear system, Control theory, Passivity and Estimation theory.
His Control theory research integrates issues from Rotor and Voltage.
The various areas that he examines in his Nonlinear system study include State, Voltage droop and Applied mathematics.
His studies in Control theory integrate themes in fields like Stability, Control system, Control and Electrical network.
His study in Passivity is interdisciplinary in nature, drawing from both Converters, Hamiltonian system, Buck–boost converter, Constant and Function.
He interconnects Estimator, Adaptive control and System dynamics in the investigation of issues within Estimation theory.
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