Sampled‐data control of fuzzy systems based on the intelligent digital redesign method via an improved fuzzy Lyapunov functional approach-Reference-Cited by-同舟云学术

Sampled‐data control of fuzzy systems based on the intelligent digital redesign method via an improved fuzzy Lyapunov functional approach

Published:2018-01 Issue:1 Volume:12 Page:163-173
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Kim Han Sol¹,Park Jin Bae¹,Joo Young Hoon²

Affiliation:

1. School of Electrical and Electronic Engineering, Yonsei University50, Yonsei‐ro, Seodaemun‐guSeoulKorea

2. Department of Control and Robotics EngineeringKunsan National University558, Daehak‐roGunsan‐siJeollabuk‐doKorea

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2017.0341

Reference27 articles.

1. A new intelligent digital redesign for T–S fuzzy systems: global approach;Lee H.J.;IEEE Trans. Fuzzy Syst.,2004

2. Further refinement on LMI‐based digital redesign: delta‐operator approach;Lee H.J.;IEEE Trans. Circuits Syst. II, Express Briefs,2006

3. Robust digital control of fuzzy systems with parametric uncertainties: LMI‐based digital redesign approach;Sung H.C.;Fuzzy Sets Syst.,2010

4. Intelligent digital redesign for nonlinear systems using a guaranteed cost control method

5. Intelligent digital redesign for non‐linear systems: observer‐based sampled‐data fuzzy control approach;Koo G.B.;IET Control Theory Appl.,2016

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