Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Automatic Predictive Control Algorithm and Emulation Technique Study

Authors
Zhongguo Yang, Tianfang Cai
Corresponding Author
Zhongguo Yang
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.196How to use a DOI?
Keywords
Nonlinearity; predictive control; fuzzy neural predictive control; composite particle swarm optimization algorithm
Abstract
This paper, aiming at the predictive control problem in nonlinear complex system, puts forward fuzzy neural predictive control algorithm based on composite particle swarm optimization algorithm. Under the situation of unknown system model, prediction model is established by combining fuzzy logic with neural network. Meanwhile the effective and feasible predictive control method with well control performance is proposed by making use of composite particle swarm optimization algorithm to complete rolling optimization, so as to provide reliable theoretical foundation for solving practical problems of control system.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.196How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhongguo Yang
AU  - Tianfang Cai
PY  - 2015/04
DA  - 2015/04
TI  - Automatic Predictive Control Algorithm and Emulation Technique Study
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.196
DO  - https://doi.org/10.2991/amcce-15.2015.196
ID  - Yang2015/04
ER  -