Design of multivariable PID controllers using real-coded population-based extremal optimization-Reference-Cited by-同舟云学术

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Design of multivariable PID controllers using real-coded population-based extremal optimization

Published:2015-03 Issue: Volume:151 Page:1343-1353
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zeng Guo-Qiang,Chen Jie,Chen Min-Rong,Dai Yu-Xing,Li Li-Min,Lu Kang-Di,Zheng Chong-Wei

Funder

National Natural Science Foundation of China

Zhejiang Province Science and Technology Planning

Zhejiang Provincial Natural Science Foundation of China

Program of Xinmiao (Potential) Talents in Zhejiang Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. R. Q. Lu, F. Wu, A. K. Xue Networked control with reset quantized state based on Bernoulli processing, IEEE Trans. Ind. Electron. 61(9) (201) 4838–4846.

2. New delay-dependent robust stability criteria for uncertain neutral systems with mixed delays;Lu;J. Franklin Inst.,2014

3. PID control system analysis, design and technology;Ang;IEEE Trans. Control Syst. Technol,2005

4. The future of PID control;Åström;Control Eng. Pract,2001

5. Evolutionary algorithms based design of multivariable PID controller;Iruthayarajan;Expert Syst. Appl.,2009

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