Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems

Long Teng; Youyi Wang; Wenjian Cai; Hua Li

doi:10.1109/ICCA.2017.8003135

Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems

Long Teng, Youyi Wang, Wenjian Cai, Hua Li

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, a kind of decentralized robust fuzzy controller which uses nonlinear local models is designed for the control of large-scale interconnected systems. The approach of T-S fuzzy model with nonlinear local models rather than with linear local model can bring some advantages. Especially for large-scale interconnected systems which often contain a lot of complex nonlinear interconnection functions, the number of fuzzy rules can be decreased as well as the computational burden can be reduced. Meanwhile, the parameter uncertainties within each subsystem and in the interconnection of subsystems are also considered to achieve robustness of the system's performance. In addition, guaranteed cost control (H₂ control) is realized and the control synthesis conditions are given by solving a set of linear matrix inequalities (LMIs). Simulation result is given to illustrate the effectiveness of the proposed method.

Original language	English
Title of host publication	2017 13th IEEE International Conference on Control and Automation, ICCA 2017
Publisher	IEEE Computer Society
Pages	642-647
Number of pages	6
ISBN (Electronic)	9781538626795
DOIs	https://doi.org/10.1109/ICCA.2017.8003135
Publication status	Published - 4 Aug 2017
Externally published	Yes
Event	13th IEEE International Conference on Control and Automation, ICCA 2017 - Ohrid, Macedonia, The Former Yugoslav Republic of Duration: 3 Jul 2017 → 6 Jul 2017

Publication series

Name	IEEE International Conference on Control and Automation, ICCA
ISSN (Print)	1948-3449
ISSN (Electronic)	1948-3457

Conference

Conference	13th IEEE International Conference on Control and Automation, ICCA 2017
Country/Territory	Macedonia, The Former Yugoslav Republic of
City	Ohrid
Period	3/07/17 → 6/07/17

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

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10.1109/ICCA.2017.8003135

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Teng, L., Wang, Y., Cai, W., & Li, H. (2017). Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems. In 2017 13th IEEE International Conference on Control and Automation, ICCA 2017 (pp. 642-647). Article 8003135 (IEEE International Conference on Control and Automation, ICCA). IEEE Computer Society. https://doi.org/10.1109/ICCA.2017.8003135

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Teng, L, Wang, Y, Cai, W & Li, H 2017, Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems. in 2017 13th IEEE International Conference on Control and Automation, ICCA 2017., 8003135, IEEE International Conference on Control and Automation, ICCA, IEEE Computer Society, pp. 642-647, 13th IEEE International Conference on Control and Automation, ICCA 2017, Ohrid, Macedonia, The Former Yugoslav Republic of, 3/07/17. https://doi.org/10.1109/ICCA.2017.8003135

Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems. / Teng, Long; Wang, Youyi; Cai, Wenjian et al.
2017 13th IEEE International Conference on Control and Automation, ICCA 2017. IEEE Computer Society, 2017. p. 642-647 8003135 (IEEE International Conference on Control and Automation, ICCA).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems

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