What is he best known for?
The fields of study he is best known for:
- Control theory
- Computer network
- Artificial intelligence
His primary scientific interests are in Control theory, Control theory, Markov chain, Markov process and Multi-agent system.
His Control theory study typically links adjacent topics like Data transmission.
His study in Control theory is interdisciplinary in nature, drawing from both Control system and Discrete time and continuous time.
Huaicheng Yan studies Consensus, a branch of Multi-agent system.
While the research belongs to areas of Nonlinear system, he spends his time largely on the problem of Fuzzy control system, intersecting his research to questions surrounding State and Interval.
His Exponential stability research includes themes of Robustness and Filter design.
His most cited work include:
- Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems (325 citations)
- Event-Triggered Asynchronous Guaranteed Cost Control for Markov Jump Discrete-Time Neural Networks With Distributed Delay and Channel Fading (128 citations)
- $H_{\infty }$ Fault Detection for Networked Mechanical Spring-Mass Systems With Incomplete Information (122 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Control theory, Nonlinear system, Control system and Multi-agent system.
His Control theory research is multidisciplinary, incorporating elements of Fuzzy logic and Network packet.
Huaicheng Yan works mostly in the field of Control theory, limiting it down to topics relating to Markov process and, in certain cases, Estimator.
He has included themes like Filtering problem and Bounded function in his Nonlinear system study.
His biological study spans a wide range of topics, including Control engineering, Control and MIMO, Communication channel.
His research in the fields of Consensus overlaps with other disciplines such as Laplacian matrix and Topology.
He most often published in these fields:
- Control theory (83.75%)
- Control theory (21.25%)
- Nonlinear system (20.63%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (83.75%)
- Control theory (21.25%)
- Control system (20.63%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control theory, Control theory, Control system, Nonlinear system and Multi-agent system.
His Control theory study incorporates themes from Event triggered, Communication channel and Quantization.
His Control theory study combines topics from a wide range of disciplines, such as Markov process, Asynchronous communication and Network packet.
His study explores the link between Control system and topics such as Additive white Gaussian noise that cross with problems in Spectral density.
In his study, Exact solutions in general relativity and Linear-quadratic-Gaussian control is inextricably linked to Actuator, which falls within the broad field of Nonlinear system.
When carried out as part of a general Multi-agent system research project, his work on Consensus is frequently linked to work in Bipartite graph, therefore connecting diverse disciplines of study.
Between 2019 and 2021, his most popular works were:
- Fuzzy Output Tracking Control and Filtering for Nonlinear Discrete-Time Descriptor Systems Under Unreliable Communication Links (56 citations)
- Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling (30 citations)
- Finite-Time $H_{\infty}$ Filtering for State-Dependent Uncertain Systems With Event-Triggered Mechanism and Multiple Attacks (27 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Computer network
The scientist’s investigation covers issues in Control theory, Control theory, Control system, Linear system and Applied mathematics.
The Control theory study which covers MIMO that intersects with White noise.
His work on Tracking error as part of general Control theory study is frequently connected to Synchronization, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
The various areas that Huaicheng Yan examines in his Control system study include Additive white Gaussian noise, Decoding methods, Representation and Energy.
His Applied mathematics study combines topics from a wide range of disciplines, such as Reduction, Stability criterion, Stability and Slack variable.
His study looks at the relationship between Lyapunov function and fields such as Discrete time and continuous time, as well as how they intersect with chemical problems.
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