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Two novel approaches of UIF design for T-S fuzzy system

  • Published:2016-04 Issue: Volume:186 Page:195-199
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Du Xiao-Kun,Zhao Hui,Chang Xiao-HengORCID

Funder

National Nature Science Foundation of China

Liaoning Excellent Talents in University, China

Tianjin science and technology support program, China

Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, China

Natural Science Foundation of Liaoning Province of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. Robust Output Feedback H-Infinity Control and Filtering for Uncertain Linear Systems;Chang,2014

2. Observer-based adaptive fuzzy tracking control of MIMO stochastic nonlinear systems with unknown control direction and unknown dead-zones;Li;IEEE Trans. Fuzzy Syst.,2015

3. State estimation via observers with unknown inputs;Jamel;Stud. Inf. Control,2010

4. Robust unknown input observer design for linear uncertain time delay systems with application to fault detection;Ahmadizadeh;Asian J. Control,2014

5. Observer-based adaptive decentralized fuzzy fault-tolerant control of nonlinear large-scale systems with actuator failures;Tong;IEEE Trans. Fuzzy Syst.,2014

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