What is he best known for?
The fields of study he is best known for:
- Programming language
- Control theory
- Algorithm
His primary scientific interests are in Control theory, Hybrid system, Robustness, Supervisory control and Control engineering.
Nonlinear system, Lyapunov function, Linear matrix inequality and Linear system are the core of his Control theory study.
His study in Lyapunov function is interdisciplinary in nature, drawing from both Exponential stability and Lyapunov stability.
Bengt Lennartson works mostly in the field of Robustness, limiting it down to topics relating to PID controller and, in certain cases, Stability margin.
Bengt Lennartson interconnects Theoretical computer science and Supervisor in the investigation of issues within Supervisory control.
His Control engineering study combines topics in areas such as Process control and Closed loop.
His most cited work include:
- Perspectives and results on the stability and stabilizability of hybrid systems (1425 citations)
- Feedback stabilization of nonaxisymmetric resistive wall modes in tokamaks. I. Electromagnetic model (294 citations)
- Stability and robustness for hybrid systems (218 citations)
What are the main themes of his work throughout his whole career to date?
Bengt Lennartson mostly deals with Control theory, Control engineering, Mathematical optimization, Supervisory control and Control theory.
His work is connected to Robustness, PID controller, Hybrid system, Optimal control and Robust control, as a part of Control theory.
His Hybrid system study frequently involves adjacent topics like Lyapunov function.
His research investigates the connection between Control engineering and topics such as Robot that intersect with issues in Trajectory.
Bengt Lennartson has included themes like Schedule and Nonlinear programming in his Mathematical optimization study.
His Supervisory control study also includes
- Theoretical computer science together with Finite-state machine and Modular design,
- Supervisor which intersects with area such as Distributed computing.
He most often published in these fields:
- Control theory (28.64%)
- Control engineering (18.67%)
- Mathematical optimization (15.09%)
What were the highlights of his more recent work (between 2013-2021)?
- Mathematical optimization (15.09%)
- Robot (8.44%)
- Control theory (28.64%)
In recent papers he was focusing on the following fields of study:
Bengt Lennartson mainly focuses on Mathematical optimization, Robot, Control theory, Theoretical computer science and Control engineering.
His study on Solver and Optimal control is often connected to Job shop scheduling and Constructive as part of broader study in Mathematical optimization.
His Robustness and PID controller investigations are all subjects of Control theory research.
His Theoretical computer science study incorporates themes from Modular design, Set and Supervisory control.
His Control engineering study combines topics from a wide range of disciplines, such as Reduction, Optimization problem, Nonlinear programming and Throughput.
His work carried out in the field of Nonlinear programming brings together such families of science as Hybrid system and Petri net.
Between 2013 and 2021, his most popular works were:
- An event-driven manufacturing information system architecture for Industry 4.0 (154 citations)
- AREUS — Innovative hardware and software for sustainable industrial robotics (34 citations)
- Energy optimization of multi-robot systems (27 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Control theory
- Algorithm
Bengt Lennartson focuses on Mathematical optimization, Robot, Artificial intelligence, Supervisory control and Theoretical computer science.
His Robot research is multidisciplinary, incorporating elements of Control engineering, Energy and Trajectory.
His Control engineering research focuses on Nonlinear programming and how it relates to Control system, Schedule, Modular design and Hybrid system.
In his study, Control theory is inextricably linked to Simulation, which falls within the broad field of Energy.
His studies in Control theory integrate themes in fields like Model checking and Invariant.
His work in Supervisory control addresses subjects such as Supervisor, which are connected to disciplines such as Binary decision diagram, Controllability and Distributed computing.
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