节点文献
基于预测控制模型的一种状态空间实现
State Space Realization Based on Predictive Control Model
【摘要】 以受控自回归滑动平均模型和受控自回归积分滑动平均模型为研究对象,根据估计理论,利用参数递推方法,构造了广义预测控制的一种状态空间实现,从而避免了解Diophantine方程,大大地减少了预估算法的计算量.为控制系统的性能分析提供了便利条件 文末,对状态空间实现的可控与可观性加以了证明.
【Abstract】 Base on controlled autoregressive moving average model and controlled autoregressive integrated moving average model,according to estimation theory, using the method of parameters recurrence relations, a state space realization of generalized predictive control is structured and its observability and controllability is proved avoiding solving the equation of Diophantine, this algorithm can decrease the computing amount. And it provides a useful way for analysing the performance of the control system.
【关键词】 广义预测控制;
受控自回归滑动平均模型;
受控自回归积分滑动平均模型;
状态空间实现;
【Key words】 generalied predictive control; controlled autoregressive moving average model; controlled autoregressive integrated moving average model; state space realization;
【Key words】 generalied predictive control; controlled autoregressive moving average model; controlled autoregressive integrated moving average model; state space realization;
【基金】 湖南省自然科学基金资助项目(60272051)
- 【文献出处】 湖南大学学报(自然科学版) ,Journal of Hunan University (Natural Science) , 编辑部邮箱 ,2003年05期
- 【分类号】TP273.5
- 【被引频次】4
- 【下载频次】370