What is he best known for?
The fields of study he is best known for:
- Control theory
- Statistics
- Artificial intelligence
Huanshui Zhang mostly deals with Control theory, Riccati equation, Kalman filter, Discrete time and continuous time and Stochastic control.
His Control theory research includes themes of Smoothing, Multi-agent system and Applied mathematics.
In his research, Linear space is intimately related to Time complexity, which falls under the overarching field of Riccati equation.
His research in Kalman filter intersects with topics in Algorithm and Estimator.
In his work, Model predictive control, Duality and Multiplicative function is strongly intertwined with Control theory, which is a subfield of Discrete time and continuous time.
His studies in Stochastic control integrate themes in fields like Algebraic Riccati equation, State and Linear-quadratic-Gaussian control.
His most cited work include:
- Improved robust H2 and H∞ filtering for uncertain discrete-time systems (311 citations)
- Distributed consensus for multi-agent systems with delays and noises in transmission channels (190 citations)
- Target Tracking in Wireless Sensor Networks Based on the Combination of KF and MLE Using Distance Measurements (159 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Optimal control, Discrete time and continuous time, Control theory and Applied mathematics.
His Control theory research incorporates themes from Algebraic Riccati equation and Riccati equation.
His study on Maximum principle and Linear quadratic is often connected to Weighting as part of broader study in Optimal control.
In his study, Huanshui Zhang carries out multidisciplinary Discrete time and continuous time and Multiplicative noise research.
His Control theory research incorporates elements of Control system and Control.
The Kalman filter study combines topics in areas such as Algorithm and Estimator.
He most often published in these fields:
- Control theory (68.12%)
- Optimal control (25.07%)
- Discrete time and continuous time (22.34%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (68.12%)
- Optimal control (25.07%)
- Control theory (21.53%)
In recent papers he was focusing on the following fields of study:
Control theory, Optimal control, Control theory, Applied mathematics and Control system are his primary areas of study.
His Control theory study integrates concerns from other disciplines, such as Control and Differential equation.
His Optimal control study combines topics in areas such as Stochastic process, Discrete time and continuous time, Stochastic difference equations, Algebraic Riccati equation and White noise.
His Control theory research is multidisciplinary, incorporating elements of Bounded function, Symmetric matrix, Linear quadratic and Riccati equation.
His Applied mathematics research includes elements of Dimension and State.
His Control system research is multidisciplinary, relying on both Transmission delay, Network packet and Estimator.
Between 2018 and 2021, his most popular works were:
- Optimal Stabilization Control for Discrete-Time Mean-Field Stochastic Systems (14 citations)
- Optimal control with irregular performance (11 citations)
- Decentralized control for linear systems with multiple input channels (10 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Statistics
- Mathematical analysis
His primary areas of study are Optimal control, Control theory, Applied mathematics, Control theory and Multi-agent system.
His research integrates issues of Algebraic Riccati equation and Riccati equation in his study of Optimal control.
His Riccati equation study combines topics from a wide range of disciplines, such as Linear matrix inequality and Stochastic control.
His Control theory research is multidisciplinary, incorporating perspectives in Stochastic process and Control.
His Applied mathematics research includes elements of State and Discrete time and continuous time.
His biological study deals with issues like Bounded function, which deal with fields such as Lyapunov equation, Consensus, Kalman filter and Matrix analysis.
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