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

By Xiaojie Su, Peng Shi, Ligang Wu, Yongduan Song. IEEE transactions on fuzzy systems, 2012

418 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/aafc4307c3e444edeaae744c5863ac96f6c60fc0

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. Peng Shi
4. Ligang Wu
5. Yongduan Song
6. Xiaojie Su
7. Tie-shan Li
8. Hongyi Li

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Peng Shi
4. Tie-shan Li
5. Yongduan Song
6. Ligang Wu
7. Hongyi Li
8. Xiaojie Su

In Electrical and Electronic Engineering

1. Yong-ming Li
2. Shaocheng Tong
3. Peng Shi

Citations in the corpus

• Observer-Based Adaptive Decentralized Fuzzy Fault-Tolerant Control of Nonlinear Large-Scale Systems With Actuator Failures (2014, methodology): “Moreover, the proposed fuzzy FTC schemes are designed based on fuzzy TS model control design technique [46]-[51], not based on the adaptive backstepping design technique.”
• 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”
• A Novel Control Design on Discrete-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delays (2013, methodology): “This approximation idea was used for the time-varying delay systems in [15] and [21], and the resulted approximation error was smaller than the existing results.”