What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Quantum mechanics
The scientist’s investigation covers issues in Control theory, Synchronization, Mathematical optimization, Multi-agent system and Lyapunov function.
His research in Control theory is mostly focused on Nonlinear system.
His research in Synchronization tackles topics such as Artificial neural network which are related to areas like Mode, Exponential synchronization and Intermittent control.
His Mathematical optimization study deals with Network topology intersecting with Exponential stability, Moment and Stability.
The Multi-agent system study combines topics in areas such as Stochastic process and Control.
His Lyapunov function research focuses on Adaptive control and how it connects with Bernoulli's principle.
His most cited work include:
- Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings (255 citations)
- Leader-following consensus of a class of stochastic delayed multi-agent systems with partial mixed impulses (205 citations)
- Synchronization in complex networks and its application – A survey of recent advances and challenges (194 citations)
What are the main themes of his work throughout his whole career to date?
Yang Tang mainly investigates Control theory, Mathematical optimization, Multi-agent system, Synchronization and Stability.
His work carried out in the field of Control theory brings together such families of science as Artificial neural network and Stochastic process.
Yang Tang works mostly in the field of Multi-agent system, limiting it down to topics relating to Control and, in certain cases, Tracking, as a part of the same area of interest.
His Synchronization research incorporates themes from Coupling, Adaptive control, Computer simulation and Amplitude death.
Many of his research projects under Stability are closely connected to Synchronization with Synchronization, tying the diverse disciplines of science together.
His Evolutionary algorithm study which covers Evolutionary computation that intersects with Controllability and Topology.
He most often published in these fields:
- Control theory (64.85%)
- Mathematical optimization (14.23%)
- Multi-agent system (13.81%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (64.85%)
- Multi-agent system (13.81%)
- Artificial intelligence (7.95%)
In recent papers he was focusing on the following fields of study:
Yang Tang spends much of his time researching Control theory, Multi-agent system, Artificial intelligence, Topology and Control.
His Control theory research includes elements of Markov process, Position and Synchronization.
The various areas that Yang Tang examines in his Multi-agent system study include Distributed computing, Convergence, Lyapunov function, Tracking error and Piecewise.
His study in Lyapunov function is interdisciplinary in nature, drawing from both Network topology, Consensus, Markov chain and Stability.
Topology and Controllability are frequently intertwined in his study.
His work deals with themes such as Artificial neural network and Bounded function, which intersect with Control theory.
Between 2019 and 2021, his most popular works were:
- Input-to-state stability for nonlinear systems with stochastic impulses (31 citations)
- Consensus of multi-agent systems via fully distributed event-triggered control (21 citations)
- Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Quantum mechanics
Yang Tang focuses on Multi-agent system, Control theory, Nonlinear system, Convergence and Artificial intelligence.
His studies deal with areas such as Control, Tracking error, Protocol and Directed graph as well as Multi-agent system.
Within one scientific family, Yang Tang focuses on topics pertaining to Synchronization under Control theory, and may sometimes address concerns connected to Control theory.
The study incorporates disciplines such as Chain, CHAOS, Markov process, Complex system and Focus in addition to Nonlinear system.
His study looks at the relationship between Convergence and topics such as Settling time, which overlap with Terminal sliding mode and Exponential stability.
Yang Tang has researched Artificial intelligence in several fields, including Automatic control and Human–computer interaction.
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