Neural-network based adaptive sliding mode control for Takagi-Sugeno fuzzy systems-Reference-Cited by-同舟云学术

Neural-network based adaptive sliding mode control for Takagi-Sugeno fuzzy systems

Published:2023-05 Issue: Volume:628 Page:240-253
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Sun Xingjian^ORCID,Zhang Lei^ORCID,Gu Juping

Funder

National Natural Science Foundation of China

Jiangsu Province Natural Science Foundation

Science and Technology Project of Nantong City

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference47 articles.

1. Boundary adaptive robust control of a flexible riser system with input nonlinearities;Zhao;IEEE Trans. Syst. Man Cybern. Syst.,2019

2. Fuzzy identification of systems and its applications to modeling and control;Takagi;IEEE Trans. Syst. Man Cybern.,1985

3. Dissipativity analysis and synthesis for positive Roesser systems under the switched mechanism and Takagi-Sugeno fuzzy rules;Wang;Inf. Sci.,2021

4. Dissipativity analysis for Takagi-Sugeno fuzzy system with time-varying delays and stochastic packet dropouts;Mao;Inf. Sci.,2022

5. Event-triggered H∞ filtering for T-S fuzzy-model-based nonlinear networked systems with multisensors against dos attacks;Gu;IEEE Trans. Cybern.,2020

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