控制理论与应用2011，Vol.28Issue(1)：125-130,6.
具有不稳定初始状态的连续时间系统辨识
Identification of continuous-time systems with unsteady initial conditions
摘要
Abstract
A new state estimation identification method is proposed for the identification of the continuous-time systems with non-zero unsteady initial conditions, to which the traditional identification methods cannot be applied. Initial values of state variables representing the initial conditions of the systems are considered a part of the parameters to be estimated.The particle swarm optimization is then used to obtain the optimal estimations of all parameters. This method needs no process data before the test starts and has no requirement for the test signal. Moreover, it can be applied to closed-loop identification directly. Its effectiveness is demonstrated through simulations.关键词
不稳定初始状态/连续时间系统/状态估计辨识法/粒子群优化Key words
unsteady initial conditions/ continuous-time systems/ state estimation identification method/ particle swarm optimization分类
信息技术与安全科学引用本文复制引用
靳其兵,梁柱,权玲..具有不稳定初始状态的连续时间系统辨识[J].控制理论与应用,2011,28(1):125-130,6.基金项目
国家"863"计划资助项目(2008AA042131) （2008AA042131）
国家"973"计划资助项目(2007CB714300). （2007CB714300）
