Performance Assessment for a Class of Nonlinear Systems

摘要：

Performance assessment for nonlinear control systems is of great current interest. In this paper, a class of nonlinear systems are concerned. The analytical benchmark performance and the associated benchmark controller are established by minimizing the variance of the measurement output. Similar to. ltering and correlation analysis (FCOR) algorithm, the calculation of performance index in higherorder statistics forms is proposed. To facilitate assessment, a filtering or whitening method is also presented. The white noise sequence is estimated by dynamic principal component analysis (DPCA) based on the nonlinear autoregressive exogenous (NARX) model. By comparison with traditional method, the proposed method can effectively avoid biased estimation of control performance for nonlinear systems. The numerical example indicates the effectiveness of the proposed performance assessment method.

关键词： Performance Assessment Minimum Variance Control Nonlinear Systems Higher-order Statistics Dynamic Principal Component Analysis Nonlinear Autoregressive Exogenous Model.

作者: Zhi Zhang Li-Sheng Hu Xue-Lian Zhang

作者单位: Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1863-1868

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）