What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Algorithm
Bo Shen focuses on Control theory, Nonlinear system, Filtering problem, Probabilistic logic and Stochastic process.
His Control theory study combines topics from a wide range of disciplines, such as Complex network, Applied mathematics and Synchronization.
Bo Shen undertakes multidisciplinary studies into Nonlinear system and Process in his work.
His work in Filtering problem is not limited to one particular discipline; it also encompasses Algorithm.
Bo Shen integrates Stochastic process with Convex optimization in his study.
His study explores the link between Discrete time and continuous time and topics such as Function that cross with problems in Semidefinite programming.
His most cited work include:
- Brief paper: Distributed H∞-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case (389 citations)
- Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements (300 citations)
- Bounded $H_{\infty}$ Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon (237 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Filtering problem, Nonlinear system, Discrete time and continuous time and Stochastic process.
Bo Shen combines subjects such as Probabilistic logic and Bounded function with his study of Control theory.
His Filtering problem study incorporates themes from Algorithm, Upper and lower bounds and Recursive filter.
His research integrates issues of Control system, Parameterized complexity, Quantization and Applied mathematics in his study of Nonlinear system.
In his study, Exponential function and Function is strongly linked to Complex network, which falls under the umbrella field of Quantization.
His Discrete time and continuous time research focuses on Artificial neural network and how it connects with Stability criterion and Time delays.
He most often published in these fields:
- Control theory (70.09%)
- Filtering problem (31.78%)
- Nonlinear system (30.84%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (70.09%)
- Discrete time and continuous time (29.91%)
- Filtering problem (31.78%)
In recent papers he was focusing on the following fields of study:
Bo Shen mainly investigates Control theory, Discrete time and continuous time, Filtering problem, Nonlinear system and Stochastic process.
His work deals with themes such as Mathematical optimization and State, which intersect with Control theory.
His Discrete time and continuous time study combines topics in areas such as Artificial neural network and H control.
His Filtering problem study also includes fields such as
- Upper and lower bounds which intersects with area such as Algorithm and State variable,
- Recursive filter which intersects with area such as Optimization problem.
His Nonlinear system research incorporates themes from Control system, Control theory, Mathematical analysis and Parameterized complexity.
In his works, he undertakes multidisciplinary study on Stochastic process and Computer simulation.
Between 2016 and 2021, his most popular works were:
- Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements (127 citations)
- Security-guaranteed filtering for discrete-time stochastic delayed systems with randomly occurring sensor saturations and deception attacks (56 citations)
- Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delays. (47 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Mathematical analysis
His main research concerns Control theory, Nonlinear system, Discrete time and continuous time, Stochastic process and Computer simulation.
Bo Shen interconnects Artificial neural network, Bounded function and State in the investigation of issues within Control theory.
The Artificial neural network study combines topics in areas such as Exponential stability and Mathematical optimization.
His Nonlinear system research focuses on subjects like Parameterized complexity, which are linked to Sampling, Convergence and Sensor fusion.
While working on this project, Bo Shen studies both Stochastic process and Filtering problem.
Bo Shen has researched Time delays in several fields, including Control system and Control theory.
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