介绍了一种重置协方差阵的递推辨识算法。
A recurrence identification algorithm with co variance matrix reset is presented.
许多用于动态系统在线参数估计的递推辨识算法,同样可以用于离线数据拟合问题。
Many recursive identification algorithms used for on-line estimation of parametersin dynamic systems can also be applied to data fitting for off-line problems.
本文给出这类系统的参数递推辨识算法,克服了迭代算法不能在线运行、需反复矩阵求逆的不足。
This paper presents a recursive parameter identification algorithm for the system. Compared with the iterative algorithm, it can avoid the matrix inversion and can be operated on-line.
利用递推最小二乘法进行了系统系数辨识,并引入遗忘因子以提高TCS的模型跟踪性能。
System parameters were identified by adapting recursion least square method, and the forgetting factor was introduced to improve the model tracing ability of TCS.
本文讲述的是一种应用加权递推的最小二乘辨识算法测试舵机带宽的实用方法。
An efficient method for testing the band width of actuator, weighted recursive least squares identification arithmetic, is presented in this paper.
线性网络部分的参数采用递推最小二乘法辨识,多层前向网络的权值和阈值采用BP算法学习。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
先通过基于模糊竞争学习确定一种在线模糊辨识算法,并给出递推模糊竞争学习算法收敛性证明。
First of all, an on-line fuzzy identifying algorithm is confirmed by means of fuzzy competitive learning, and the convergence about a recursive algorithm of fuzzy competitive learning is proved.
所提出的辨识新方法,以递推最小二乘(RLS)参数估计与非线性规划(BFGS)为主体。
The new identification method for nonlinear systems is presented, which combinesrecursive least-square (RLS) parameter estimation with nonlinear programming (BFGS).
论文使用了现代参数辨识技术的ARMAX模型递推法和状态子空间辨识法,对飞行颤振试验数据进行处理,辨识飞机的颤振模态参数。
ARMAX model method and subspace-based state space method were used to process the flight flutter test data, and identify the flutter modal parameters of aircraft.
将关键变量分离原理和辅助模型思想相结合,得到单新息递推增广最小二乘辨识算法。
By combining the key term separation principle with the auxiliary model idea, we can obtain the single innovation recursive extended least squares identification algorithm.
本文用最小二乘递推算法辨识自回归模型和自回归动平均模型,编制了电力系统短期在线负荷予报程序。
This paper uses the recursion algorithm of the least-square method to identify an autoregression model and an autoregression moving average model.
在此基础上利用递推最小二乘算法辨识出模型的结论参数。
The conclusion parameters are identified by the recursive least-square identification algorithm.
本文讨论了在噪声功率有界的假设下双线性系统参数的集员辨识,给出了双线性系统参数集员估计的递推形式,并讨论了收敛性。
Based on the assumption of the unknown-but-bounded (UBB) noise, an interval algorithm for set-membership identification of parameters of linear time-invariant system was used to seek the minimal.
本文利用方块脉冲函数的特点,对双线性系统的分析及辨识问题进行了讨论,得出了一套便于应用的递推算法。
Problems ot analysis and identification of bilinear systems via block-pulse functions arc discussed, and recursive algorithms convenient for computer are presented.
将基于递推最小二乘算法的转速在线辨识方法引入电动助力转向系统中,以估计助力电动机的转速。
A speed identification method based on recursive least square (RLS) algorithm is introduced into electric power steering (EPS) system for estimating the speed of EPS motor.
结果表明,利用递推算法进行转速辨识成本低,可靠性、鲁棒性高;提出的阻尼控制策略有效可行。
The results show that the speed identification with RLS algorithm has low cost and high reliability and robustness, and the damping control strategy proposed is effective and feasible.
并用递推的极大似然法辨识参数。
Recursive maximum likelihood is used to estimate the parameters.
并用递推的极大似然法辨识参数。
Recursive maximum likelihood is used to estimate the parameters.
应用推荐