节点文献
关于系统时滞、阶数和系数的在线辨识
On-line Identifications for Systems with Unknown Delay, Orders and Coefficients
【摘要】 针对时滞、阶数和系数皆未知的离散时间线性随机控制系统(ARMAX模型),提出一种对时滞、阶数和系数同时进行递推估计的算法。在一定的条件下该算法能保证时滞、阶数和系数的估计都具有强一致性,而且系数估计具有较快的收敛速度。
【Abstract】 This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model). It is proved that the estimates of the time-delay, orders and coefficients are strongly consistent. Simultaneously, a faster convergent rate of the coefficient estimates to their true values is obtained.
【关键词】 ARMAX模型;
阶数估计;
参数估计;
在线辨识;
强一致性;
收敛速度;
【Key words】 ARMAX model; order estimation; parameter estimation; on-line identification; strong consistency; convergent rate;
【Key words】 ARMAX model; order estimation; parameter estimation; on-line identification; strong consistency; convergent rate;
【基金】 上海市重点学科建设项目资助
- 【文献出处】 华东师范大学学报(自然科学版) ,Journal of Eastchina Normal University(Natural Science) , 编辑部邮箱 ,2003年03期
- 【分类号】O231
- 【被引频次】7
- 【下载频次】165