离散大型非线性系统的层次模糊最优控制

2010 Second International Conference on Machine Learning and Computing Pub Date : 2010-02-09 DOI:10.1109/ICMLC.2010.32

Najla Krichen Masmoudi, C. Rekik, M. Djemel, N. Derbel

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引用次数: 9

摘要

本文提出了一种利用层次模糊系统计算离散大型非线性系统最优控制策略的方法。该方法基于将全局系统分解为相互关联的子系统的原理，更易于研究。然后，应用微分动态规划方法获得规则基。在此基础上，构造了清晰分层的Mamdani模糊系统，以计算各子系统的最优控制律。对旋转起重机的仿真结果表明，该方法具有良好的性能。验证了该方法的鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal Control for Discrete Large Scale Nonlinear Systems Using Hierarchical Fuzzy Systems

This paper presents a method to compute optimal control strategies of discrete large scale nonlinear systems by using hierarchical fuzzy systems. The method is based on the decomposition principle of the global system into interconnected subsystems becoming easier to study. Then, the differential dynamic programming procedure is applied in order to obtain the rule basis. After that, we construct limpid-hierarchical Mamdani fuzzy system in order to compute optimal control laws, for each subsystem. Simulation results of a rotary crane show that the proposed method yields to satisfactory performances. The robustness of the proposed approach is verified.

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2010 Second International Conference on Machine Learning and Computing

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