What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
Control theory, Nonlinear system, Exponential stability, Control system and Lyapunov function are his primary areas of study.
Control theory, Discrete time and continuous time, Linear system, Nonlinear control and Hybrid system are among the areas of Control theory where the researcher is concentrating his efforts.
His Nonlinear system study combines topics from a wide range of disciplines, such as Control engineering, State and Sampled data systems.
Dragan Nesic combines subjects such as Integrator and State variable with his study of Exponential stability.
The concepts of his Control system study are interwoven with issues in Quadratic equation, Scheduling, Computation and Communications protocol.
His Lyapunov redesign study, which is part of a larger body of work in Lyapunov function, is frequently linked to Transmission time, bridging the gap between disciplines.
His most cited work include:
- Periodic event-triggered control for nonlinear systems (669 citations)
- Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance (617 citations)
- Input-output stability properties of networked control systems (588 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Nonlinear system, Exponential stability, Control system and Control theory.
Control theory is a component of his Linear system, Discrete time and continuous time, Lyapunov function, Stability and Hybrid system studies.
The Stability study which covers Mathematical optimization that intersects with Convergence.
His study in Nonlinear system is interdisciplinary in nature, drawing from both Observer, Robustness, Control engineering and Applied mathematics.
His study in the field of Networked control system is also linked to topics like Emulation.
His Control theory study integrates concerns from other disciplines, such as Control and Trajectory.
He most often published in these fields:
- Control theory (63.37%)
- Nonlinear system (38.11%)
- Exponential stability (23.79%)
What were the highlights of his more recent work (between 2015-2021)?
- Control theory (63.37%)
- Nonlinear system (38.11%)
- Observer (8.21%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Control theory, Nonlinear system, Observer, Control system and Exponential stability.
His study on Control theory is mostly dedicated to connecting different topics, such as State.
His Nonlinear system study combines topics from a wide range of disciplines, such as Stability, Algorithm, Convergence and Applied mathematics.
His studies deal with areas such as Lyapunov function, Function and Mathematical optimization, Optimal control as well as Stability.
His research integrates issues of Injection attacks, State, Bounded function and Stability theory in his study of Observer.
Dragan Nesic works mostly in the field of Control system, limiting it down to topics relating to Scheduling and, in certain cases, Communications protocol and Networked control system, as a part of the same area of interest.
Between 2015 and 2021, his most popular works were:
- Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery (121 citations)
- Stabilization of Nonlinear Systems Using Event-Triggered Output Feedback Controllers (114 citations)
- Maximum Hands-Off Control: A Paradigm of Control Effort Minimization (81 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
Dragan Nesic mostly deals with Control theory, Nonlinear system, Control theory, Control system and Exponential stability.
Control theory and Sampling are commonly linked in his work.
His work deals with themes such as Observer, Initial value problem, State of charge and State, which intersect with Nonlinear system.
When carried out as part of a general Control theory research project, his work on Nonlinear control is frequently linked to work in Capacitor, therefore connecting diverse disciplines of study.
His research investigates the connection with Control system and areas like Scheduling which intersect with concerns in Network packet.
The Linear system study combines topics in areas such as Overshoot and Control.
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