What is he best known for?
The fields of study he is best known for:
- Control theory
- Statistics
- Artificial intelligence
Fei Liu focuses on Control theory, Nonlinear system, Lyapunov function, Artificial neural network and Control theory.
Fei Liu interconnects Class and Markov process in the investigation of issues within Control theory.
His Nonlinear system study combines topics in areas such as Mathematical optimization and Fuzzy logic.
His work in Lyapunov function tackles topics such as Polytope which are related to areas like Applied mathematics, Domain, Observer and Dynamical system.
His Artificial neural network research incorporates elements of Upper and lower bounds and Stochastic control.
His Control theory study integrates concerns from other disciplines, such as Control system, Markov chain and Markov property.
His most cited work include:
- $H_{\infty}$ Filtering for Discrete-Time Systems With Stochastic Incomplete Measurement and Mixed Delays (227 citations)
- Stabilization of Networked Control Systems With Random Delays (153 citations)
- Stationary consensus of heterogeneous multi-agent systems with bounded communication delays (138 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Nonlinear system, Mathematical optimization, Control theory and Markov jump are his primary areas of study.
Fei Liu has researched Control theory in several fields, including Multi-agent system and Markov process.
His work on Linearization as part of his general Nonlinear system study is frequently connected to Fault detection and isolation, thereby bridging the divide between different branches of science.
His Mathematical optimization study also includes
- Algorithm together with Linear system,
- Expectation–maximization algorithm, which have a strong connection to Autoregressive model.
His study in the fields of Robust control under the domain of Control theory overlaps with other disciplines such as Scheme.
His Markov jump research includes elements of Class, Discrete time and continuous time and Applied mathematics.
He most often published in these fields:
- Control theory (67.30%)
- Nonlinear system (28.93%)
- Mathematical optimization (17.61%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (67.30%)
- Nonlinear system (28.93%)
- Control theory (16.35%)
In recent papers he was focusing on the following fields of study:
Fei Liu mainly investigates Control theory, Nonlinear system, Control theory, Applied mathematics and Markov jump.
The Control theory study combines topics in areas such as Interval and Asynchronous communication.
His work on Lyapunov function and Linearization is typically connected to Conic section as part of general Nonlinear system study, connecting several disciplines of science.
His work deals with themes such as Bounded function and Markov process, which intersect with Control theory.
His Applied mathematics study incorporates themes from Type, Robust control, Markov jump linear systems, Bayesian probability and Noise.
The concepts of his Markov jump study are interwoven with issues in Sampling and Probabilistic logic.
Between 2019 and 2021, his most popular works were:
- Adaptive Optimal Control for a Class of Nonlinear Systems: The Online Policy Iteration Approach (50 citations)
- Observer-Based Asynchronous Fault Detection for Conic-Type Nonlinear Jumping Systems and its Application to Separately Excited DC Motor (34 citations)
- Finite-Time L 2 -Gain Asynchronous Control for Continuous-Time Positive Hidden Markov Jump Systems via T–S Fuzzy Model Approach (27 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Statistics
- Artificial intelligence
Control theory, Nonlinear system, Control theory, Asynchronous communication and Hidden Markov model are his primary areas of study.
His biological study spans a wide range of topics, including Artificial neural network and Interval.
His Nonlinear system research is multidisciplinary, relying on both Differential inclusion and Type.
Fei Liu focuses mostly in the field of Control theory, narrowing it down to topics relating to Markov process and, in certain cases, Dynamic priority scheduling and State.
His research on Asynchronous communication also deals with topics like
- Transition probability matrix, Markov jump and H control most often made with reference to Linear matrix inequality,
- Markov chain which connect with Autoregressive model, Expectation–maximization algorithm, Online identification and Mathematical optimization.
Markov model, Bounded function, Fuzzy control system and Fuzzy logic is closely connected to Applied mathematics in his research, which is encompassed under the umbrella topic of Hidden Markov model.
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