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

By Xiaojie Su, Peng Shi, Ligang Wu, Yongduan Song. IEEE transactions on fuzzy systems, 2013

342 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/c4d038af39cdccfbd1d410d4bf043db0337a7fac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Shaocheng Tong
2. Yong-ming Li
3. Xiangpeng Xie
4. Chen Peng
5. Shaodong Ma
6. Tie-shan Li
7. Yong‐Hua Liu
8. Hongyi Li

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Tie-shan Li
4. Xiangpeng Xie
5. Chen Peng
6. Shaodong Ma
7. Hongyi Li
8. Yanjun Liu

Citations in the corpus

• Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones (2015, background): “Through singleton function, center average defuzzification and product inference [38-45], the fuzzy logic system can be expressed as”
• Observer-Based Non-PDC Control for Networked T–S Fuzzy Systems With an Event-Triggered Communication (2017, methodology): “Since the advent of Takagi–Sugeno (T–S) fuzzy system [1], it has been the most active branch of fuzzy control field [2]–[5], in which the parallel distribution compensation (PDC) technology has been widely used for designing”