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NARMA 模型预测控制滚动优化的两级协调法
A Two Level Coordination Algorithm for Moving Horizon Optimization in NARMA Model Predictive Control
【摘要】 针对NARMA模型,提出了预测控制滚动优化的两级协调法。该算法由三层构成,上、中两层是两个协调器,第三层是局部决策单元。该算法避免了在子问题的求解中使用效率较低的规划方法,提高了线计算的效率。仿真结果表明了该算法的有效性
【Abstract】 A two level coordination algorithm is presented for moving horizon optimization of predictive control based on NARMA model. The novel scheme consists of three layers, that is, two for coordination layers and one for local decision. This algorithm avoids the dynamic programming in sub optimization problems, and improves the efficiency of the on line computations. The simulation results show the effectiveness of the new algorithm.
【关键词】 NARMA模型;
预测控制;
滚动优化;
【Key words】 NARMA model; predictive control; moving horizon optimization;
【Key words】 NARMA model; predictive control; moving horizon optimization;
【基金】 国家自然科学基金
- 【文献出处】 西南交通大学学报 ,Journal of Southwest Jiaotong University , 编辑部邮箱 ,1997年04期
- 【分类号】TP13
- 【被引频次】4
- 【下载频次】102