What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
His main research concerns Control theory, Discrete time and continuous time, Linear system, Dwell time and Lyapunov function.
His biological study spans a wide range of topics, including Markov process, Asynchronous communication and Stability.
Lixian Zhang interconnects Class, Numerical stability, Hybrid system and Mode in the investigation of issues within Stability.
His Discrete time and continuous time study incorporates themes from Filter and Applied mathematics.
His Linear system study typically links adjacent topics like Stability criterion.
His Lyapunov function research incorporates themes from Tracking error, Bounded function, Adaptive control, Backstepping and Moment.
His most cited work include:
- Network-Induced Constraints in Networked Control Systems—A Survey (742 citations)
- Brief paper: Stability and stabilization of Markovian jump linear systems with partly unknown transition probabilities (673 citations)
- Stability and Stabilization of Switched Linear Systems With Mode-Dependent Average Dwell Time (673 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Lyapunov function, Linear system, Control theory and Discrete time and continuous time.
His work carried out in the field of Control theory brings together such families of science as Markov process and Stability.
His Lyapunov function research integrates issues from Control system, Fuzzy control system, Fuzzy logic, Stability and Bounded function.
His research integrates issues of Filter, Numerical stability, Class, Asynchronous communication and Applied mathematics in his study of Linear system.
Lixian Zhang combines subjects such as Linear matrix inequality, Upper and lower bounds and Piecewise with his study of Applied mathematics.
His Discrete time and continuous time research includes themes of Stability criterion, Reduction, Hybrid system and H-infinity methods in control theory.
He most often published in these fields:
- Control theory (84.86%)
- Lyapunov function (32.11%)
- Linear system (28.90%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (84.86%)
- Lyapunov function (32.11%)
- Control theory (20.18%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Control theory, Lyapunov function, Control theory, Linear system and Stability.
The study incorporates disciplines such as Control and Reinforcement learning in addition to Control theory.
His Lyapunov function research incorporates elements of Control system, Stochastic process, Stability, Class and Bounded function.
His Stability study combines topics from a wide range of disciplines, such as Trajectory, Kernel, Applied mathematics and Markov chain.
As a part of the same scientific family, Lixian Zhang mostly works in the field of Control theory, focusing on Mode and, on occasion, State.
The various areas that Lixian Zhang examines in his Linear system study include Exponential stability, Markov process, Algebraic number and Stability conditions.
Between 2018 and 2021, his most popular works were:
- Stabilization of hidden semi-Markov jump systems: Emission probability approach (30 citations)
- Stabilization of hidden semi-Markov jump systems: Emission probability approach (30 citations)
- Adaptive stabilization of impulsive switched linear time-delay systems: A piecewise dynamic gain approach (19 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
His primary areas of investigation include Control theory, Lyapunov function, Markov process, Mode and Control theory.
Lixian Zhang has researched Control theory in several fields, including Piecewise and Reinforcement learning.
His work in Lyapunov function addresses subjects such as Stability, which are connected to disciplines such as Current.
His work deals with themes such as Probability density function, Linear system and Applied mathematics, which intersect with Markov process.
His research in Linear system intersects with topics in Stochastic process, Exponential stability and Filter.
The study incorporates disciplines such as Control system and Motion planning in addition to Control theory.
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