What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
The scientist’s investigation covers issues in Control theory, Linear system, Nonlinear system, Exponential stability and Hybrid system.
In his work, Encoding is strongly intertwined with Sampling, which is a subfield of Control theory.
Within one scientific family, he focuses on topics pertaining to Observability under Linear system, and may sometimes address concerns connected to State observer, Observer, Signal processing and Computation.
His Nonlinear system research is multidisciplinary, relying on both State and Norm.
His Adaptive control research includes elements of Dynamical system, Transfer function and Supervisory control.
His Control engineering research is multidisciplinary, incorporating perspectives in Stability and Task.
His most cited work include:
- Switching in Systems and Control (3661 citations)
- Basic problems in stability and design of switched systems (3004 citations)
- Quantized feedback stabilization of linear systems (1281 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Nonlinear system, Linear system, Lyapunov function and Exponential stability.
His Control theory study frequently draws connections to other fields, such as Bounded function.
The concepts of his Nonlinear system study are interwoven with issues in Quantization, State, Applied mathematics, Function and Upper and lower bounds.
His Linear system study which covers Observability that intersects with Observer.
Daniel Liberzon has researched Lyapunov function in several fields, including Dynamical systems theory, Lyapunov exponent and Mathematical analysis.
Daniel Liberzon conducted interdisciplinary study in his works that combined Exponential stability and Encoder.
He most often published in these fields:
- Control theory (67.16%)
- Nonlinear system (34.31%)
- Linear system (28.43%)
What were the highlights of his more recent work (between 2015-2021)?
- Control theory (67.16%)
- Applied mathematics (10.78%)
- Nonlinear system (34.31%)
In recent papers he was focusing on the following fields of study:
Daniel Liberzon mostly deals with Control theory, Applied mathematics, Nonlinear system, Lyapunov function and Linear system.
His studies link Electric power system with Control theory.
His study in Nonlinear system is interdisciplinary in nature, drawing from both Control engineering, Feedback control, Upper and lower bounds and Energy control.
Daniel Liberzon combines subjects such as Dynamical systems theory, Lyapunov exponent, Exponential stability, Hybrid system and Vector field with his study of Lyapunov function.
The study incorporates disciplines such as Class and Bounded function in addition to Exponential stability.
His Linear system study incorporates themes from Topological entropy, State and Stability conditions.
Between 2015 and 2021, his most popular works were:
- Generalized switching signals for input-to-state stability of switched systems (43 citations)
- Entropy and Minimal Bit Rates for State Estimation and Model Detection (32 citations)
- Control With Minimal Cost-Per-Symbol Encoding and Quasi-Optimality of Event-Based Encoders (31 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
Daniel Liberzon mainly investigates Control theory, Linear system, Nonlinear system, Applied mathematics and Topological entropy.
His work in the fields of Control theory, such as Exponential stability, intersects with other areas such as Dwell time.
His Exponential stability research is multidisciplinary, incorporating elements of Control engineering, Nonlinear observer and Lyapunov function.
His biological study spans a wide range of topics, including State and Disturbance.
As part of the same scientific family, Daniel Liberzon usually focuses on Nonlinear system, concentrating on Robustness and intersecting with Sampling, Quantization, Clock synchronization, Master system and Lorenz system.
His work deals with themes such as Entropy, Maximum entropy spectral estimation, Joint quantum entropy, Joint entropy and Stability conditions, which intersect with Applied mathematics.
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