Jitai Liang
Papers
1
Total Citations
7
H-Index
1
About
Jitai Liang is a prominent researcher in the fields of fuzzy systems, state estimation, and networked control systems, with a particular focus on Takagi-Sugeno (T-S) fuzzy affine models and their applications under communication constraints. His work addresses critical challenges in modern control theory, such as handling measurement quantization, signal degradation, and system uncertainties. One of his most influential contributions is the development of state estimation methods for discrete-time T-S fuzzy affine systems with variable quantization density, as detailed in his highly cited 2015 paper. This work introduced a novel framework where the quantization density can be dynamically adjusted to balance performance and resource usage, significantly advancing the practicality of fuzzy control in real-world networked environments. With over 7 citations, this paper has become a key reference for researchers working on fuzzy systems and quantized control. Liang’s research is characterized by its rigorous mathematical foundation and practical relevance, making him a notable figure in the control engineering community, particularly for those exploring the intersection of fuzzy logic and networked systems.
Research Focus
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Top Papers
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