What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Internal medicine
His main research concerns Control theory, Nonlinear system, Nonlinear control, Control engineering and Internal model.
Control theory is frequently linked to Aerodynamics in his study.
His Nonlinear system research integrates issues from Observer, Control theory, Observability and Feed forward.
His Nonlinear control study combines topics in areas such as Decentralised system, Feedback regulation, Output feedback and Reference model.
His study explores the link between Control engineering and topics such as Robot that cross with problems in Control.
His Internal model study combines topics from a wide range of disciplines, such as Vertical direction, Linear system, Superposition principle and Autopilot.
His most cited work include:
- Semi-global nonlinear output regulation with adaptive internal model (444 citations)
- Robust nonlinear motion control of a helicopter (227 citations)
- Robust Autonomous Guidance (196 citations)
What are the main themes of his work throughout his whole career to date?
Lorenzo Marconi mainly investigates Control theory, Nonlinear system, Internal model, Control engineering and Robust control.
Nonlinear control, Linear system, Control theory, Robustness and Trajectory are subfields of Control theory in which his conducts study.
His work on Exponential stability as part of general Nonlinear system research is frequently linked to Minimum phase, thereby connecting diverse disciplines of science.
His Internal model study integrates concerns from other disciplines, such as Class, Steady state and Harmonics.
His study looks at the relationship between Control engineering and topics such as Robot, which overlap with Simulation.
His research on Robust control often connects related topics like Motion control.
He most often published in these fields:
- Control theory (69.55%)
- Nonlinear system (49.04%)
- Internal model (31.73%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (69.55%)
- Nonlinear system (49.04%)
- Internal model (31.73%)
In recent papers he was focusing on the following fields of study:
Control theory, Nonlinear system, Internal model, Control theory and Robustness are his primary areas of study.
Many of his studies involve connections with topics such as Dimension and Control theory.
His biological study spans a wide range of topics, including Observer, Structure and Steady state.
His studies deal with areas such as Class and Embedding as well as Internal model.
In general Control theory study, his work on Adaptive control often relates to the realm of Hydraulic press, thereby connecting several areas of interest.
He has included themes like Algorithm and Discrete time and continuous time in his Robustness study.
Between 2016 and 2021, his most popular works were:
- Robust Global Trajectory Tracking for Underactuated VTOL Aerial Vehicles Using Inner-Outer Loop Control Paradigms (63 citations)
- High-gain observers with limited gain power for systems with observability canonical form (25 citations)
- Development and validation of a prediction model for severe respiratory failure in hospitalized patients with SARS-CoV-2 infection: a multicentre cohort study (PREDI-CO study). (20 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
His main research concerns Control theory, Internal model, Nonlinear system, Internal medicine and Robustness.
His study brings together the fields of Dimension and Control theory.
The Internal model study combines topics in areas such as Robot and Invariant.
His studies in Nonlinear system integrate themes in fields like Embedding, Observability and Harmonics.
In the subject of general Internal medicine, his work in Confidence interval, Mortality rate, Multivariate analysis and Cohort study is often linked to Enterobacteriaceae, thereby combining diverse domains of study.
His research in Robustness intersects with topics in Control engineering, Attitude control, Underactuation and Quaternion.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
