期刊文献+

基于LSSVM的污水处理过程建模 被引量:6

Modeling of Sewage Treatment Process Based on MIMO-LSSVM
下载PDF
导出
摘要 针对基准仿真1号模型(BSM1)有耗时久、结构复杂、不利于研究和优化等缺点,提出使用多输入多输出最小二乘支持向量机(LSSVM)对污水处理过程进行建模。先介绍BSM1,再在BSM1的基础上建立基于L S S V M的污水处理过程简化模型,最后将B S M 1的仿真结果与基于L S S V M的污水处理模型的仿真结果进行比较,验证得出基于L S S V M的污水处理过程模型运行效率更高。 In view of shortcomings of Benchmark simulation model no.1(BSM1), such as time consuming, complicated structure and hard to research and optimization, a model based on LSSVM(least squares support vector machine) for sewage treatment process is presented. Introduces BSM1 firstly, then establishes LSSVM-based simplified model of sewage treatment process on BSM1, finally compares the simulation results of BSM1 and LSSVM-based model. It indicates that the LSSVM-based model has higher operation efficiency.
出处 《湖南工业大学学报》 2016年第1期59-63,共5页 Journal of Hunan University of Technology
关键词 最小二乘支持向量机 污水处理过程 基准仿真1号模型 least squares support vector machine sewage treatment process benchmark simulation model no.1
  • 相关文献

参考文献4

二级参考文献46

  • 1师五喜,霍伟,吴宏鑫.一类未知非线性离散系统的直接自适应模糊预测控制[J].自动化学报,2004,30(5):664-670. 被引量:15
  • 2刘斌,苏宏业,褚健.一种基于最小二乘支持向量机的预测控制算法[J].控制与决策,2004,19(12):1399-1402. 被引量:38
  • 3Clarke D W, Mohtadi C, Tuffs P S. Generalized predictive control[J]. Automatiea, 1987, 23 (2) : 137- 160.
  • 4Clarke D W, Mosca E, Scattolini R. Robustness of an adaptive predictive controller [J]. IEEE Trans on Automatic Control, 1994, 39(5) : 1052-1056.
  • 5Jie Zhang, Julian morris. Nonlinear model predictive control based on multiple local linear model[C]. Proc of the American Control Conf. Arlington, 2001: 3503- 3508.
  • 6Fischer M, Nelles O, Isermann R. Predictive control based on local linear fuzzy models[J]. Int J of Systems Science, 1998, 29(7) : 679-697.
  • 7Liu G P, Kadirkamanathan V, Billings S. Predictive control for nonlinear systems using neural networks[J]. Int J of Control, 1998, 71(6) : 1119-1132.
  • 8Vapnik V N. The nature of statistical learning theory[M]. New York: Springer-Verlag, 1999.
  • 9Iplikei S. Support vector machines-based generalized predictive control[J]. Int J of Robust and Nonlinear Control, 2006: 843-862.
  • 10Suykens J A K, Vandewalle J. Least squares support vector machine classifiers [ J ]. Neural Processing Letters, 1999, 9(3): 293-300.

共引文献32

同被引文献40

引证文献6

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部