What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Control theory
Xinping Guan mainly investigates Control theory, Control theory, Nonlinear system, Adaptive control and Mathematical optimization.
His Control theory study is mostly concerned with Backstepping, Control system, Observer, Fuzzy control system and Robust control.
His work in Control theory addresses subjects such as Lyapunov function, which are connected to disciplines such as Networked control system.
His Nonlinear system research includes themes of Multi-agent system, Bounded function, State variable and Fuzzy logic.
His study in Adaptive control is interdisciplinary in nature, drawing from both Exponential stability and Teleoperation.
Xinping Guan interconnects Chaotic and Convex optimization in the investigation of issues within Mathematical optimization.
His most cited work include:
- Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays (454 citations)
- Robust backstepping control for a class of time delayed systems (200 citations)
- Adaptive Fuzzy Output-Feedback Controller Design for Nonlinear Time-Delay Systems With Unknown Control Direction (191 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Control theory, Mathematical optimization, Nonlinear system and Computer network.
His Control theory research incorporates elements of Control engineering, Control and Multi-agent system.
His work carried out in the field of Control theory brings together such families of science as Exponential stability, Lyapunov function, Stability theory, Observer and Teleoperation.
His study focuses on the intersection of Mathematical optimization and fields such as Power control with connections in the field of Femtocell and Macrocell.
His work deals with themes such as Artificial neural network, State variable and Bounded function, which intersect with Nonlinear system.
His work is dedicated to discovering how Computer network, Wireless are connected with Communication channel and other disciplines.
He most often published in these fields:
- Control theory (41.14%)
- Control theory (18.51%)
- Mathematical optimization (19.66%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (41.14%)
- Control theory (18.51%)
- Mathematical optimization (19.66%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Control theory, Mathematical optimization, Nonlinear system and Optimization problem.
He works in the field of Control theory, namely Stability.
His Control theory research is multidisciplinary, incorporating perspectives in Observer, Linear matrix inequality, Function and Exponential stability.
His Mathematical optimization study combines topics in areas such as Resource allocation and Power control.
Xinping Guan has researched Nonlinear system in several fields, including State variable, State and Lipschitz continuity.
He combines subjects such as Wireless, Cognitive radio, Relay and Fuzzy logic with his study of Optimization problem.
Between 2018 and 2021, his most popular works were:
- Efficient QoS Support for Robust Resource Allocation in Blockchain-Based Femtocell Networks (29 citations)
- Self-Triggered Leader-Following Consensus for High-Order Nonlinear Multiagent Systems via Dynamic Output Feedback Control (28 citations)
- Privacy-Preserving Average Consensus: Privacy Analysis and Algorithm Design (26 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Control theory
His primary scientific interests are in Control theory, Control theory, Mathematical optimization, Nonlinear system and Real-time computing.
His biological study focuses on State variable.
His Control theory study integrates concerns from other disciplines, such as Control system, Exponential stability, Trajectory, Vehicle dynamics and Piecewise.
His Mathematical optimization study incorporates themes from Cognitive radio, Communication channel, Resource allocation and Robustness.
His research in Nonlinear system intersects with topics in Artificial neural network, State, Class, Constraint and Dropout.
His Real-time computing research incorporates themes from Observer, Grid, Isolation, Underwater vehicle and Node.
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