Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems-Reference-Cited by-同舟云学术

Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems

Published:2019-02 Issue: Volume:44 Page:320-334
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Zeng Guo-Qiang,Xie Xiao-Qing,Chen Min-Rong,Weng Jian^ORCID

Funder

Zhejiang Provincial Natural Science Foundation of China

National Key R&D Plan of China

National Natural Science Foundation of China

Guangdong Provincial Special Funds for Applied Technology Research and Development and Transformation of Important Scientific and Technological Achieve

Zhejiang Province Science and Technology Planning Project

Guangzhou Key Laboratory of Data Security and Privacy Preserving

Guangdong Key Laboratory of Data Security and Privacy Preserving

National Joint Engineering Research Center of Network Security Detection and Protection Technology

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference59 articles.

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2. PID controller design for second order nonlinear uncertain systems;Zhao;Sci. China,2017

3. Non-fragile multivariable PID controller design via system augmentation;Liu;Int. J. Syst. Sci.,2017

4. A stochastic PID controller for a class of MIMO systems;Saab;Int. J. Contr.,2017

5. A multivariable on-line adaptive PID controller using auto-tuning neurons;Chang;Eng. Appl. Artif. Intell.,2003

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