Control Strategy on a Class of Control System

DOI

10.2991/csss-14.2014.116How to use a DOI?

Keywords

nonlinear system; intelligent bionic; artificial neu-ral network; genetic algorithm

Abstract

It is acknowledged to build nonlinear system modelis the crucial point for control problems, the utilization of conventional control strategies can improve the system perfor-mance, i.e., system accuracy, stability and fast convergence.From fundamentally view, a model does not touch changes of its structure often does not provide a perfect solution. Bionic science and technology, especially intelligent neural network technology and genetic evolution, with its excellent adaptability and intelligent evolution, provides effective strategy for complex control systems. This article first describes a general structure of the model two-dimensional input control system, then simulate to verify the suitability of its strategy from the Back-Propagation Neural Networks and Genetic Algorithms for a comparison.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wu Wei
AU  - Du Wencai
PY  - 2014/06
DA  - 2014/06
TI  - Control Strategy on a Class of Control System
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 495
EP  - 498
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.116
DO  - 10.2991/csss-14.2014.116
ID  - Wei2014/06
ER  -