Intelligent control using multiple models based on on-line learning
Junyong ZHAI
Shumin FEI
Feipeng DA
摘要：In this paper we deal with the problem of plants with large parameter variations under different operating modes. A novel intelligent control algorithm based on multiple models is proposed to improve the dynamical response performance. At the same time adaptive model bank is applied to establish models without prior system information.Multiple models and corresponding controllers are automatically established on-line by a conventionally adaptive model and a re-initialized one. A best controller is chosen by the performance function at every instant. The closed-loop system's stability and asymptotical convergence of tracking error can be guaranteed. Simulation results have confirmed the validity of the proposed method.
机标关键词：multiple modelsintelligent control algorithmperformance functiondynamical responsetracking errordeal with
分类号：O23(控制论、信息论（数学理论）)
资助基金：国家自然科学基金(60574006)高等学校博士学科点专项科研项目(20030286013)江苏省自然科学基金(BK2003405)
论文发表日期：2006-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：5( 397-401 )
英文信息