Robust Takagi–Sugeno fuzzy control design for non‐linear networked control systems with asynchronous premise variables

Author:

Kim Sung Hyun1

Affiliation:

1. Department of Electrical EngineeringUniversity of Ulsan (UOU)Ulsan680‐749Korea

Funder

Ministry of Education, Science and Technology

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Integral Sliding Mode Control for Partially Unknown T-S Fuzzy Systems Based on Reinforcement Learning Method;2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS);2022-08-03

2. Optimization of Fuzzy Membership Function based on the NCOS function method;IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society;2020-10-18

3. Robust packet-based nonlinear fuzzy networked control systems;Journal of the Franklin Institute;2019-02

4. Improved Takagi-Sugeno fuzzy output tracking control for nonlinear networked control systems;Journal of the Franklin Institute;2017-11

5. Extended dissipative filtering of fuzzy systems with time-varying delay under imperfect premise matching;International Journal of Systems Science;2017-02-02

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