| 摘要: |
| [目的]为进一步改进有害藻和有益藻的消长控制模型,更好控制有害藻的发生,避免其所造成的危害。[方法]假设赤潮有害藻密度可测,有益藻密度不可测,在有害藻和有益藻密度模型正则化的基础上,设计神经网络观测器来估计有益藻对应的变量;然后,设计变结构控制使有害藻浓度减少而有益藻浓度增大,最终达到稳定状态。[结果]仿真分析结果显示,有害藻和有益藻持续在稳定的状态。[结论]变结构控制器的设计合理有效。 |
| 关键词: 赤潮 生物种群模型 径向基函数神经网络 变结构控制 |
| DOI：10.13656/j.cnki.gxkx.20160511.006 |
| 投稿时间：2015-12-09修订日期：2016-02-20 |
| 基金项目: |
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| Research on Adaptive Variable Structure Control for Biological Model of Red Tide |
|
LEI Xiaochun
|
| (Laboratory Animal Research Center, Jiangsu University, Zhenjiang, Jiangsu, 212013, China) |
| Abstract: |
| [Objective] In order to overcome the weakness of traditional treatment methods of red tide (including physical method and chemical method), biological treatment technique was explored, where the relationship among creature competition, biological inhibition and biological predation was evaluated.Introducing beneficial creature in the area of red tide could inhibit the eruption of red-tide algae, and reduce the occurrence of red-tide algae and its damage.[Methods] In the paper, we assumed that the density of harmful algae could be measured whereas the density of beneficial algae could not be measured.Based on the regularization of the density model of harmful algae and beneficial algae, neural network viewer was designed to estimate corresponding changes of beneficial algae.Then, a variable structure control was designed to reduce the density of harmful algae and increase that of beneficial algae, and finally to reach a steady state.[Results] Simulation results of an example illustrated the effectiveness of the proposed method.[Conclusion] The designed variable structure control is effective. |
| Key words: red tide biological population model radial basis function neural network variable structure control |
