A Novel Identification Method Based on QDPSO for Hammerstein Error-output System

摘要：

The objectives of this paper are to identify the Hammerstein system adaptively based on Quantum Deltapotential- well-based Particle Swarm Optimization(QDPSO). First, the Hammerstein output-error system is shown in briefly. Second, according to the article Swarm Optimization(PSO), an improved QDPSO algorithm is presented. Third, training samples for intermediate linear model are obtained by operating measured data synthetically, and coefficients of the intermediate model is obtained by the QDPSO algorithm. Finally, The efficiency of the proposed algorithm is demonstrated by simulation examples.

关键词： Parameter Identification Hammerstein Error-output System Particle Swarm Optimization Quantum Deltapotential-well-based PSO

作者: Zhiyong Du Xianfang Wang

作者单位: Henan Mechanical and Electrical Engineering College, Xinxiang, 453002 School of Computer and Information Technology, Henan Normal University, Xinxiang, 453007 School of I

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3335-3339

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）