On-Line Modular Identification Based on Recursive PLS Regression with Application to Predictive Ship Motion Control

摘要：

An on-line modular predictor is proposed for control application of ship maneuvering motion. This approach combines parametric identification with non-parametric identifications, which are realized based upon recursive partial least squares regression and variable neural network, respectively. Simulation of predictive ship course control is performed by employing the modular predictor for on-line motion prediction. Simulations results of ship motion prediction and control demonstrate the feasibility and effectiveness of the proposed modular predictor.

关键词： Modular predictor Recursive partial least squares Ship motion control

作者: YIN Jian-chuan ZOU Zao-jian XU Feng

作者单位: School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 2 School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 2 School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 2

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 4562-4567

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）