辽宁石油化工大学学报2012，Vol.32Issue(1)：78-83,6.DOI:10.3696/j.issn.1672-6952.2012.01.020
基于T-S模糊模型的直接自适应预测控制
Direct Adaptive Predictive Control Based on T-S Fuzzy Model
摘要
Abstract
A direct adaptive predictive control based on T - S fuzzy model was proposed. The structure parameters of T - S fuzzy model were identified online using the weighted recursive least squares method. The identified parameters of fuzzy model were used to directly receive the model predicted output with direct iterative for the T-S model. The algorithm is a good way to resolve the two major problems, modeling and optimization, and provide a guarantee for high-precision control of nonlinear systems. Simulation result shows that the proposed algorithm is an effective control strategy with excellent tracing ability.关键词
非线性系统/T-S模糊模型/预测控制/自适应控制Key words
Nonlinear system/ T-S fuzzy model/ Predictive control/ Adaptive control分类
信息技术与安全科学引用本文复制引用
马俪娜,苏成利..基于T-S模糊模型的直接自适应预测控制[J].辽宁石油化工大学学报,2012,32(1):78-83,6.基金项目
辽宁省自然科学基金项目(20102127) （20102127）
辽宁省高校创新团队支持计划项目(2009T062 （）
LT2010058). （）
