# Yongduan Song

## D-Index & Metrics

Discipline name D-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 56 Citations 9,909 243 World Ranking 788 National Ranking 93

## What is he best known for?

### The fields of study he is best known for:

• Artificial intelligence
• Control theory
• Algorithm

His primary areas of study are Control theory, Nonlinear system, Adaptive control, Control theory and Fault tolerance. Yongduan Song combines subjects such as Control engineering, Convergence and Multi-agent system with his study of Control theory. The study incorporates disciplines such as Turbine, Distributed generation, Torque and Electronic speed control in addition to Control engineering.

The various areas that he examines in his Adaptive control study include Traction, Rate of convergence and Vehicle dynamics. His Control theory study incorporates themes from Linear matrix inequality, Automatic frequency control and Stability theory. His Fault tolerance research is multidisciplinary, incorporating perspectives in Stability and Actuator.

### His most cited work include:

• A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay (360 citations)
• Fault Detection Filtering for Nonlinear Switched Stochastic Systems (353 citations)
• Distributed Secondary Voltage and Frequency Restoration Control of Droop-Controlled Inverter-Based Microgrids (332 citations)

## What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Control theory, Nonlinear system, Control engineering, Adaptive control and Control theory. His Control theory study integrates concerns from other disciplines, such as Fault tolerance, Control and Artificial neural network. His study focuses on the intersection of Nonlinear system and fields such as Bounded function with connections in the field of Multi-agent system.

His Control engineering research integrates issues from Control system, Aerodynamics, Turbine, Vehicle dynamics and Robustness. His Adaptive control study combines topics from a wide range of disciplines, such as Stability, Lyapunov function and Robust control. His Control theory research is multidisciplinary, relying on both Torque and Fuzzy logic.

### He most often published in these fields:

• Control theory (86.67%)
• Nonlinear system (33.02%)
• Control engineering (30.16%)

## What were the highlights of his more recent work (between 2018-2021)?

• Control theory (86.67%)
• Nonlinear system (33.02%)
• Backstepping (11.11%)

### In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Control theory, Nonlinear system, Backstepping, Artificial neural network and Function. His Control theory research is multidisciplinary, incorporating elements of Transformation, Tracking and Fault tolerance. His Adaptive control and Lyapunov function study, which is part of a larger body of work in Nonlinear system, is frequently linked to Control, bridging the gap between disciplines.

His Artificial neural network research incorporates elements of Anomaly detection and Pattern recognition. His Function research includes elements of Steady state, Convergence, State, Multi-agent system and Decentralised system. His research in Decentralised system tackles topics such as Mathematical optimization which are related to areas like Convex optimization.

### Between 2018 and 2021, his most popular works were:

• Nonfragile Dissipative Synchronization for Markovian Memristive Neural Networks: A Gain-Scheduled Control Scheme (78 citations)
• Prescribed-Time Consensus and Containment Control of Networked Multiagent Systems (67 citations)
• Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems (65 citations)

## In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Control theory
• Algorithm

Yongduan Song mainly investigates Control theory, Nonlinear system, Artificial neural network, State and Control theory. His research in Control theory intersects with topics in Function, Multi-agent system and Uniform boundedness. His study explores the link between Nonlinear system and topics such as Actuator that cross with problems in Steady state and Observer.

His research integrates issues of Stability, Bounded function and Memristor in his study of Artificial neural network. His study in State is interdisciplinary in nature, drawing from both Control and Upper and lower bounds, Topology. Yongduan Song interconnects Fuzzy logic and Stability theory in the investigation of issues within Control theory.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

## Best Publications

Distributed Secondary Voltage and Frequency Restoration Control of Droop-Controlled Inverter-Based Microgrids

Fanghong Guo;Changyun Wen;Jianfeng Mao;Yong-Duan Song.
IEEE Transactions on Industrial Electronics (2015)

456 Citations

A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay

Xiaojie Su;Peng Shi;Ligang Wu;Yong-Duan Song.
IEEE Transactions on Fuzzy Systems (2012)

391 Citations

Indirect Robust Adaptive Fault -Tolerant Control for Attitude Tracking of Spacecraft

Wenchuan Cai;X. H. Liao;Y. D. Song.
Journal of Guidance Control and Dynamics (2008)

386 Citations

Variable speed control of wind turbines using nonlinear and adaptive algorithms

Y.D. Song;B. Dhinakaran;X.Y. Bao.
Journal of Wind Engineering and Industrial Aerodynamics (2000)

374 Citations

Fault Detection Filtering for Nonlinear Switched Stochastic Systems

Xiaojie Su;Peng Shi;Ligang Wu;Yong-Duan Song.
IEEE Transactions on Automatic Control (2016)

369 Citations

A Novel Control Design on Discrete-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delays

Xiaojie Su;Peng Shi;Ligang Wu;Yong-Duan Song.
IEEE Transactions on Fuzzy Systems (2013)

337 Citations

${\cal H}_{\infty}$ Model Reduction of Takagi–Sugeno Fuzzy Stochastic Systems

Xiaojie Su;Ligang Wu;Peng Shi;Yong-Duan Song.
systems man and cybernetics (2012)

284 Citations

A novel approach to output feedback control of fuzzy stochastic systems

Xiaojie Su;Ligang Wu;Peng Shi;Yong-Duan Song.
Automatica (2014)

232 Citations

Distributed Economic Dispatch for Smart Grids With Random Wind Power

Fanghong Guo;Changyun Wen;Jianfeng Mao;Yong-Duan Song.
IEEE Transactions on Smart Grid (2016)

212 Citations

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

(2015)

196 Citations

## Best Scientists Citing Yongduan Song

### Peng Shi

Publications: 109

### Hamid Reza Karimi

Politecnico di Milano

Publications: 68

### Bin Jiang

Nanjing University of Aeronautics and Astronautics

Publications: 64

### Guang-Hong Yang

Northeastern University

Publications: 54

### Ligang Wu

Harbin Institute of Technology

Publications: 47

### Ju H. Park

Yeungnam University

Publications: 43

### Dong Yue

Nanjing University of Posts and Telecommunications

Publications: 42

### Changyun Wen

Nanyang Technological University

Publications: 35

### Huaguang Zhang

Northeastern University

Publications: 32

### Frank L. Lewis

The University of Texas at Arlington

Publications: 32

### Gang Tao

University of Virginia

Publications: 30

### Josep M. Guerrero

Aalborg University

Publications: 30

### Shengyuan Xu

Nanjing University of Science and Technology

Publications: 29

### Shaocheng Tong

Liaoning University of Technology

Publications: 28

### Rathinasamy Sakthivel

Bharathiar University

Publications: 27

### Tingwen Huang

Texas A&M University at Qatar

Publications: 27

Profile was last updated on December 6th, 2021.