What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Control engineering
His scientific interests lie mostly in Control theory, Control system, Networked control system, Model predictive control and Control engineering.
As part of his studies on Control theory, David Rees often connects relevant areas like Upper and lower bounds.
His study in Upper and lower bounds is interdisciplinary in nature, drawing from both Artificial neural network and Derivative.
The various areas that he examines in his Control system study include Transmission delay, Stability criterion and Automatic control.
His Control engineering study integrates concerns from other disciplines, such as Control and Control signal.
David Rees interconnects Sliding mode control and Linear system in the investigation of issues within Linear matrix inequality.
His most cited work include:
- On designing of sliding-mode control for stochastic jump systems (552 citations)
- New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay (462 citations)
- Technical communique: Improved delay-range-dependent stability criteria for linear systems with time-varying delays (456 citations)
What are the main themes of his work throughout his whole career to date?
David Rees mostly deals with Control theory, Control engineering, Control system, Nonlinear system and Model predictive control.
His Networked control system, Linear matrix inequality, Stability, Linear system and Control theory study are his primary interests in Control theory.
His Control engineering research incorporates themes from Control and Data transmission.
In his study, MIMO is strongly linked to Stability criterion, which falls under the umbrella field of Control system.
David Rees has researched Nonlinear system in several fields, including Frequency domain, Harmonic and Signal.
His biological study spans a wide range of topics, including Sequence, Compensation and Transmission, Backward channel.
He most often published in these fields:
- Control theory (75.88%)
- Control engineering (38.24%)
- Control system (30.00%)
What were the highlights of his more recent work (between 2008-2013)?
- Control theory (75.88%)
- Control system (30.00%)
- Control engineering (38.24%)
In recent papers he was focusing on the following fields of study:
Control theory, Control system, Control engineering, Linear matrix inequality and Stability criterion are his primary areas of study.
As part of one scientific family, he deals mainly with the area of Control theory, narrowing it down to issues related to the Model predictive control, and often Nonlinear system.
His work deals with themes such as Iterative method, Distributed parameter system, Data transmission and Network packet, which intersect with Control system.
His Control engineering study incorporates themes from Distributed computing and System model.
His Linear matrix inequality study combines topics from a wide range of disciplines, such as Upper and lower bounds, Linear system and Robust control.
His work carried out in the field of Networked control system brings together such families of science as Discrete time system, Lyapunov function and Delay time.
Between 2008 and 2013, his most popular works were:
- Technical communique: Improved delay-range-dependent stability criteria for linear systems with time-varying delays (456 citations)
- Design of a Packet-Based Control Framework for Networked Control Systems (119 citations)
- H∞ filtering for discrete-time systems with time-varying delay (97 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- The Internet
David Rees mainly investigates Control theory, Control system, Linear matrix inequality, Stability criterion and Model predictive control.
His work on Interval expands to the thematically related Control theory.
His Control system research includes themes of Control engineering, Hybrid system, Distributed parameter system and Network packet.
His Linear matrix inequality research is multidisciplinary, incorporating perspectives in Upper and lower bounds and Linear system.
His studies in Stability criterion integrate themes in fields like Stability and Circle criterion.
His research integrates issues of Control theory and Networked control system in his study of Model predictive control.
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