What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Statistics
Peng Shi mainly focuses on Control theory, Nonlinear system, Control theory, Fuzzy logic and Fuzzy control system.
His study looks at the intersection of Control theory and topics like Artificial neural network with Synchronization.
His Nonlinear system research incorporates themes from Observer, Bounded function and Adaptive system.
His work in Control theory tackles topics such as Control system which are related to areas like Telecommunications network and Network packet.
His Fuzzy logic research integrates issues from Mathematical optimization, Linearization and Fault detection and isolation.
His studies deal with areas such as Fuzzy set and Dissipative system as well as Fuzzy control system.
His most cited work include:
- Stability and Stabilization of Switched Linear Systems With Mode-Dependent Average Dwell Time (673 citations)
- On designing of sliding-mode control for stochastic jump systems (552 citations)
- State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems (518 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Nonlinear system, Control theory, Fuzzy logic and Lyapunov function.
His study in Exponential stability, Linear matrix inequality, Fuzzy control system, Discrete time and continuous time and Control system falls within the category of Control theory.
His work in Linear matrix inequality addresses issues such as Linear system, which are connected to fields such as Filter.
The concepts of his Nonlinear system study are interwoven with issues in Observer, Artificial neural network and Bounded function.
His study looks at the relationship between Control theory and fields such as Actuator, as well as how they intersect with chemical problems.
His research brings together the fields of Mathematical optimization and Fuzzy logic.
He most often published in these fields:
- Control theory (95.44%)
- Nonlinear system (28.02%)
- Control theory (23.65%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (95.44%)
- Nonlinear system (28.02%)
- Control theory (23.65%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Nonlinear system, Control theory, Fuzzy logic and Control.
His study in Lyapunov function, Fuzzy control system, Control system, Sliding mode control and Backstepping are all subfields of Control theory.
The study incorporates disciplines such as Markov chain and Stability in addition to Lyapunov function.
His Nonlinear system research is multidisciplinary, incorporating elements of Artificial neural network, Robustness and Filter design.
Peng Shi combines subjects such as Exponential stability and Stability theory with his study of Control theory.
Peng Shi works mostly in the field of Fuzzy logic, limiting it down to topics relating to Asynchronous communication and, in certain cases, Hidden Markov model.
Between 2019 and 2021, his most popular works were:
- A Sustainable Solid Electrolyte Interphase for High‐Energy‐Density Lithium Metal Batteries Under Practical Conditions (53 citations)
- Consensus Tracking Control of Switched Stochastic Nonlinear Multiagent Systems via Event-Triggered Strategy (44 citations)
- Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review (40 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Statistics
His primary areas of investigation include Control theory, Nonlinear system, Control theory, Multi-agent system and Topology.
His Artificial neural network research extends to Control theory, which is thematically connected.
His studies in Nonlinear system integrate themes in fields like Bounded function, Filter and Markov process.
His study in Control theory is interdisciplinary in nature, drawing from both Control, Exponential stability and Computer simulation.
His research investigates the connection between Topology and topics such as Lyapunov function that intersect with issues in Markov chain.
His work focuses on many connections between Fuzzy control system and other disciplines, such as Asynchronous communication, that overlap with his field of interest in Fuzzy logic.
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