What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Geometry
David Angeli mainly focuses on Control theory, Stability, Mathematical optimization, Nonlinear system and Exponential stability.
His research in Control theory intersects with topics in Control engineering and State.
His Stability research incorporates elements of Monotone polygon, Pure mathematics, Derivative, Type and Lyapunov function.
His work deals with themes such as Discrete time and continuous time and Model predictive control, which intersect with Mathematical optimization.
David Angeli has researched Nonlinear system in several fields, including Interval, Optimal control and Differential equation.
His Exponential stability research includes elements of Nonlinear control and Stability theory.
His most cited work include:
- Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feedback systems (776 citations)
- A Lyapunov approach to incremental stability properties (567 citations)
- Monotone control systems (536 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Mathematical optimization, Nonlinear system, Exponential stability and Lyapunov function.
He interconnects State and Economic model predictive control, Model predictive control in the investigation of issues within Control theory.
His research in Mathematical optimization focuses on subjects like Convergence, which are connected to State variable.
His Nonlinear system research is multidisciplinary, relying on both Pure mathematics and Differential equation.
His study explores the link between Exponential stability and topics such as Applied mathematics that cross with problems in Monotone polygon and Piecewise.
The study incorporates disciplines such as Control engineering, Piecewise linear function and Supervisory control in addition to Lyapunov function.
He most often published in these fields:
- Control theory (50.00%)
- Mathematical optimization (36.88%)
- Nonlinear system (24.47%)
What were the highlights of his more recent work (between 2018-2021)?
- Lyapunov function (20.92%)
- Mathematical optimization (36.88%)
- Convergence (20.21%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Lyapunov function, Mathematical optimization, Convergence, Applied mathematics and Theoretical computer science.
His Lyapunov function research integrates issues from Linear system and Exponential stability.
His Exponential stability study is concerned with the larger field of Nonlinear system.
Within one scientific family, David Angeli focuses on topics pertaining to Security of supply under Mathematical optimization, and may sometimes address concerns connected to Optimal dispatch.
His Convergence study incorporates themes from Algorithm, Multi-agent system, Protocol and Trajectory.
His Theoretical computer science research is multidisciplinary, incorporating elements of State and Finite set.
Between 2018 and 2021, his most popular works were:
- A Mean Field Game Approach for Distributed Control of Thermostatic Loads Acting in Simultaneous Energy-Frequency Response Markets (23 citations)
- A computational framework for a Lyapunov-enabled analysis of biochemical reaction networks. (10 citations)
- A computational framework for a Lyapunov-enabled analysis of biochemical reaction networks. (10 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Control theory
- Geometry
The scientist’s investigation covers issues in Mathematical optimization, Operations research, Lyapunov function, Finite set and Linear system.
David Angeli has included themes like Petri net and Decentralised system in his Mathematical optimization study.
The Operations research study combines topics in areas such as Stability, Perspective and Economic model predictive control.
His biological study spans a wide range of topics, including Theoretical computer science and Signalling.
His research investigates the connection with Finite set and areas like Singular perturbation which intersect with concerns in Invariant and Exponential stability.
His studies deal with areas such as Trajectory, Robustness, Control theory, Nonlinear system and Applied mathematics as well as Invariant.
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.
