2023 - Research.com Electronics and Electrical Engineering in China Leader Award
His study on Statistics is interrelated to topics such as Markov process and Discrete time and continuous time. His study brings together the fields of Control theory (sociology) and Artificial intelligence. His study ties his expertise on Artificial intelligence together with the subject of Control theory (sociology). He integrates Control (management) and Electrical engineering in his research. In his works, Ligang Wu conducts interdisciplinary research on Electrical engineering and Control (management). Quantum mechanics is closely attributed to Jump in his research. Nonlinear system and Sliding mode control are frequently intertwined in his study. He conducts interdisciplinary study in the fields of Sliding mode control and State observer through his works. His research on State observer often connects related areas such as Nonlinear system.
In his works, Ligang Wu conducts interdisciplinary research on Artificial intelligence and Computer vision. While working on this project, Ligang Wu studies both Control (management) and Electrical engineering. In his papers, Ligang Wu integrates diverse fields, such as Electrical engineering and Control (management). He carries out multidisciplinary research, doing studies in Quantum mechanics and Applied mathematics. He integrates many fields, such as Applied mathematics and Quantum mechanics, in his works. His work in Nonlinear system is not limited to one particular discipline; it also encompasses Sliding mode control. Sliding mode control is closely attributed to Nonlinear system in his work. Ligang Wu undertakes interdisciplinary study in the fields of Fuzzy logic and Fuzzy control system through his works. Ligang Wu brings together Fuzzy control system and Fuzzy logic to produce work in his papers.
Ligang Wu performs multidisciplinary study in Artificial intelligence and Computer vision in his work. In his works, Ligang Wu undertakes multidisciplinary study on Computer vision and Artificial intelligence. His research on Control (management) often connects related areas such as Control theory (sociology). His Control theory (sociology) study frequently draws connections to other fields, such as Control (management). Ligang Wu performs integrative study on Quantum mechanics and Observer (physics). He conducted interdisciplinary study in his works that combined Observer (physics) and Quantum mechanics. Controller (irrigation) is frequently linked to Agronomy in his study. His work in Agronomy is not limited to one particular discipline; it also encompasses Controller (irrigation). In his articles, Ligang Wu combines various disciplines, including Operating system and Programming language.
His Quantization (signal processing) research focuses on Algorithm and how it relates to State (computer science). His State (computer science) study frequently intersects with other fields, such as Algorithm. His Machine learning study frequently draws connections between adjacent fields such as Stability (learning theory) and Artificial neural network. Ligang Wu conducted interdisciplinary study in his works that combined Stability (learning theory) and Machine learning. Artificial neural network and Adaptive control are two areas of study in which he engages in interdisciplinary research. Ligang Wu integrates many fields, such as Adaptive control and Backstepping, in his works. His Control theory (sociology) study frequently intersects with other fields, such as Control (management). His study brings together the fields of Backstepping and Control (management). His Control theory (sociology) research extends to Artificial intelligence, which is thematically connected.
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Technical communique: Sliding mode control with bounded L 2 gain performance of Markovian jump singular time-delay systems
Ligang Wu;Xiaojie Su;Peng Shi.
State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems
Ligang Wu;Peng Shi;Huijun Gao.
IEEE Transactions on Automatic Control (2010)
A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems
Ligang Wu;Xiaojie Su;Peng Shi;Jianbin Qiu.
systems man and cybernetics (2011)
Observer-based adaptive sliding mode control for nonlinear Markovian jump systems
Hongyi Li;Peng Shi;Deyin Yao;Ligang Wu.
Fault Detection Filtering for Nonlinear Switched Stochastic Systems
Xiaojie Su;Peng Shi;Ligang Wu;Yong-Duan Song.
IEEE Transactions on Automatic Control (2016)
Extended State Observer-Based Sliding-Mode Control for Three-Phase Power Converters
Jianxing Liu;Sergio Vazquez;Ligang Wu;Abraham Marquez.
IEEE Transactions on Industrial Electronics (2017)
Brief paper: Passivity-based sliding mode control of uncertain singular time-delay systems
Ligang Wu;Wei Xing Zheng.
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)
Event-triggered sliding mode control of stochastic systems via output feedback ☆
Ligang Wu;Yabin Gao;Jianxing Liu;Hongyi Li.
State estimation and sliding mode control for semi-Markovian jump systems with mismatched uncertainties
Fanbiao Li;Ligang Wu;Peng Shi;Cheng-Chew Lim.
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