What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Algorithm
His primary scientific interests are in Control theory, Control theory, Fuzzy logic, Upper and lower bounds and Singular perturbation.
His study in Control theory is interdisciplinary in nature, drawing from both Interval and Filter design.
His work carried out in the field of Control theory brings together such families of science as Control and Actuator.
As a member of one scientific family, Hao Shen mostly works in the field of Fuzzy logic, focusing on Nonlinear system and, on occasion, Applied mathematics.
His study focuses on the intersection of Upper and lower bounds and fields such as Full state feedback with connections in the field of Stability and Exponential stabilization.
His research in Exponential stability focuses on subjects like Lyapunov function, which are connected to Search algorithm.
His most cited work include:
- Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links (336 citations)
- Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations (283 citations)
- Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures (246 citations)
What are the main themes of his work throughout his whole career to date?
Hao Shen mostly deals with Control theory, Control theory, Artificial neural network, Nonlinear system and Exponential stability.
His work on Lyapunov function is typically connected to Dissipative system as part of general Control theory study, connecting several disciplines of science.
His research in Control theory intersects with topics in Upper and lower bounds and Actuator.
Hao Shen focuses mostly in the field of Artificial neural network, narrowing it down to matters related to Interval and, in some cases, Mathematical optimization.
The Exponential stability study combines topics in areas such as Linear matrix inequality and Applied mathematics.
His Fuzzy logic course of study focuses on Filter and Discrete time and continuous time.
He most often published in these fields:
- Control theory (82.68%)
- Control theory (35.50%)
- Artificial neural network (24.68%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (82.68%)
- Control theory (35.50%)
- Artificial neural network (24.68%)
In recent papers he was focusing on the following fields of study:
Hao Shen focuses on Control theory, Control theory, Artificial neural network, Nonlinear system and Fuzzy logic.
His research in the fields of Lyapunov function, Fuzzy control system and Lyapunov stability overlaps with other disciplines such as Dwell time and Dissipative system.
His work deals with themes such as Bounded function, Actuator and Constant, which intersect with Control theory.
His research investigates the connection with Artificial neural network and areas like Synchronization which intersect with concerns in Markov jump.
His Nonlinear system research incorporates elements of Tracking and Robotic arm.
His Fuzzy logic study frequently links to other fields, such as Filter.
Between 2019 and 2021, his most popular works were:
- Reliable Event-Triggered Asynchronous Extended Passive Control for Semi-Markov Jump Fuzzy Systems and Its Application (55 citations)
- Sliding-Mode Control for Slow-Sampling Singularly Perturbed Systems Subject to Markov Jump Parameters (46 citations)
- Exponential H∞ Filtering for Continuous-Time Switched Neural Networks Under Persistent Dwell-Time Switching Regularity (43 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Algorithm
Hao Shen mainly investigates Control theory, Control theory, Lyapunov stability, Fuzzy logic and Nonlinear system.
Hao Shen combines subjects such as Fault tolerance and Control with his study of Control theory.
Hao Shen has researched Control theory in several fields, including Control system and Sampling.
His studies in Fuzzy logic integrate themes in fields like Filter and Applied mathematics.
His Applied mathematics research is multidisciplinary, relying on both Singular perturbation and Upper and lower bounds.
As a part of the same scientific study, Hao Shen usually deals with the Nonlinear system, concentrating on Robotic arm and frequently concerns with Robot, Kernel, Full state feedback and Robustness.
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