Multi-Modeling for Nonlinear Distributed Parameter Processes Using Spatio-Temporal Kernel

摘要：

Many industrial processes are nonlinear distributed parameter systems (DPS) that have significant spatio-temporal dynamics. Due to different production and working conditions, they often need to work at a large operating range with multiple working points. However, direct global modeling and persistently exciting experiment in a large working region are very costly in many cases. Complex spatio-temporal coupling and infinite-dimensional nature make the problem more difficult. In this study, a kernel based spatio-temporal multi-modeling approach is proposed for the nonlinear DPS with multiple working points. The effectiveness of the proposed modeling approach is verified by simulations.

关键词： distributed parameter system spatio-temporal modeling multi-modeling kernel model space/time separation

作者: Chenkun Qi Han-Xiong Li Shaoyuan Li Xianchao Zhao Feng Gao

作者单位: School of Mechanical Engineering, Shanghai Jiao Tong University,State Key Laboratory of Mechanical S Department of Systems Engineering & Engineering Management, City University of Hong Kong, Hong Kong, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China

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: 1712-1717

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）