What is he best known for?
The fields of study he is best known for:
- Control theory
- Computer network
- Telecommunications
Hongjiu Yang mainly focuses on Control theory, State observer, Control theory, Networked control system and Control engineering.
His work blends Control theory and Delta operator studies together.
His State observer study integrates concerns from other disciplines, such as Adaptive control, Trajectory and Attitude control.
His Networked control system research incorporates elements of Optimal control, Quantization and Network packet.
His study focuses on the intersection of Optimal control and fields such as Distributed computing with connections in the field of Computer network.
He works mostly in the field of Control engineering, limiting it down to topics relating to Mobile robot and, in certain cases, Feedback controller.
His most cited work include:
- Resilient Control of Networked Control System Under DoS Attacks: A Unified Game Approach (148 citations)
- Optimal control for networked control systems with disturbances: a delta operator approach (99 citations)
- Nonlinear Control for Tracking and Obstacle Avoidance of a Wheeled Mobile Robot With Nonholonomic Constraint (76 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Delta operator, Control system, Control theory and Nonlinear system.
He has included themes like Control engineering and Network packet in his Control theory study.
His study looks at the relationship between Control system and topics such as Optimal control, which overlap with Distributed computing and Upper and lower bounds.
His work carried out in the field of Nonlinear system brings together such families of science as Kalman filter and Actuator.
In his research on the topic of State observer, Mobile robot is strongly related with Trajectory.
The study incorporates disciplines such as Quantization and Model predictive control in addition to Networked control system.
He most often published in these fields:
- Control theory (70.13%)
- Delta operator (23.38%)
- Control system (22.73%)
What were the highlights of his more recent work (between 2020-2021)?
- Control theory (70.13%)
- Model predictive control (9.09%)
- Nonlinear system (19.48%)
In recent papers he was focusing on the following fields of study:
Hongjiu Yang focuses on Control theory, Model predictive control, Nonlinear system, Network packet and Event triggered.
His research on Control theory often connects related areas such as State.
He focuses mostly in the field of Model predictive control, narrowing it down to matters related to Discrete time and continuous time and, in some cases, Observer and Disturbance.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Algorithm design and Computer simulation.
His Event triggered study frequently draws connections to other fields, such as Obstacle avoidance.
His study in Control theory is interdisciplinary in nature, drawing from both Differentiator, Vehicle dynamics, Trajectory and Attitude control.
Between 2020 and 2021, his most popular works were:
- Predictive Cloud Control for Networked Multiagent Systems With Quantized Signals Under DoS Attacks (5 citations)
- Leader–Follower Trajectory Control for Quadrotors via Tracking Differentiators and Disturbance Observers (5 citations)
- Event-Triggered Active MPC for Nonlinear Multiagent Systems With Packet Losses (3 citations)
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