Iterative Learning Control Based on Integrated Dynamic Quadratic Criterion for Batch Processes

摘要：

An integrated neuro-fuzzy model and dynamic Rparameter based quadratic criterion-iterative learning control is proposed in this paper. Quadratic criterion-iterative learning control with dynamic parameters is used to improve the performance of iterative learning control. As a result, the proposed method can avoid the problem of initialization of the optimization controller parameters, which are usually resorted to trial and error procedure in the existing iterative algorithms. Lastly, example is used to illustrate the performance and applicability of the proposed method.

关键词： batch processes iterative learning control quadratic criterion dynamic parameter

作者: Li Jia Jiping Shi Dashuai Cheng Luming Cao Min-Sen Chiu

作者单位: Shanghai Key Laboratory of Power Station Automation Technology,Department of Automation, College of Faculty of Engineering, National University of Singapore, Singapore

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 493-498

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）