Recursive identification for Hammerstein–Wiener systems with dead-zone input nonlinearity

A new recursive algorithm is proposed for the identification of a special form of Hammerstein–Wiener system with dead-zone nonlinearity input block. The direct motivation of this work is to implement on-line control strategies on this kind of system to produce adaptive control algorithms. With the parameterization model of the Hammerstein–Wiener system, a special form of model estimation error is defined; and then its approximate formula is given for the following derivation. Based on these, a recursive identification algorithm is established that aims at minimizing the sum of the squared parameter estimation errors. The conditions of uniform convergence are obtained from the property analysis of the proposed algorithm and an adaptive setting method for a weighted factor in the algorithm is given, which enhances the convergence of the proposed algorithm. This algorithm can also be used for the identification of the Hammerstein systems with dead-zone nonlinearity input block. Three simulation examples show the validity of this algorithm.     

An adaptive robustizing approach to kalman filtering

The performance of a linear Kalman filter will degrade when the dynamic noise is not Gaussian. A robust Kalman filter based on the m-interval polynomial approximation (MIPA) method for unknown non-Gaussian noise is proposed. Two situations are considered: (a) the state is Gaussian and the observation noise is non-Gaussian; (b) the state is non-Gaussian and the observation noise is Gaussian. It is shown, as compared with other non-Gaussian filters, the MIPA Kalman filter is computationally feasible, unbiased, more efficient and robust. For the scalar model, Monte Carlo simulations are given to demonstrate the ideas involved.     

动态不确定非线性系统直接自适应模糊backstepping控制

对一类单输入单输出动态不确定非线性系统,提出一种直接自适应模糊backstepping和小增益相结合的控制方法.设计中,首先用模糊逻辑系统逼近虚拟控制器:其次把自适应模糊控制和backstepping控制设计技术相结合.给出了直接自适应模糊控制设计方法.最后基于Lyapunov函数和小增益方法证明了整个闭环系统的稳定性.仿真实例进一步验证了所提方法的有效性.     

基于ANSYS的输电铁塔非线性稳定性分析

基于非线性稳定性分析理论,以-220kV真型试验塔为工程背景,按照试验资料运用ANSYS有限元分析软件建立精细化试验塔有限元模型。对覆冰,有张力差最不利试验工况下试验塔进行非线性稳定性分析,探讨输电塔的非线性行为,得出其极限承栽力。分析结果表明,作为高耸结构的输电塔,塔架在破坏前会发生明显的塑性变形,在荷载未超过限值时对输电塔进行监测和巡视对于输电塔的防灾减灾是行之有效的。研究结果为我国输电线路的安全运行提供参考依据。     

The creep experiment and theoretical model analysis of gas- containing coal

A creep experiment of preformed molding coal under different confining pressures were carried out using self-developed 3-triaxial creep loading device for gas-containing coal, which loaded by Shimadzu AGI-250 kN electrical servo-controlled stiffness testing machine. Based on the experimental results, the variation trend of axial deformation under different stress states was studied, and creep failure characteristics of gas-containing coal under different confining pressures were analyzed. The experimental results were identified with seven-component nonlinear viscoelasto-plastic creep model （Hohai model）, and the creep material parameters were obtained. The experimental result complies well with the theoretical value of this model. It indicates that creep constitutive relation of gas-containing coal can be expressed by nonlinear viscoelasto-plastic creep model correctly.     

非对称量子阱中线性和三阶非线性光吸收系数的研究

主要研究了一个特殊非对称量子阱中的线性和三阶非线性光吸收系数。首先利用量子力学中的密度矩阵算符理论和迭代方法导出了线性和三阶非线性光吸收系数的表达式，然后以典型的非对称量子阱GaAs／AIGaAs材料为例作了数值计算。数值结果表明，入射光强以及系统的非对称性对总的光吸收系数有比较大的影响，从而为实验研究提供理论依据。     

强震作用下平板网架的非线性反应分析

分析了平板网架在强地震作用下的非线性反应,对网架的破坏机理进行探索,编制程序进行算例分析,得出了平板网架在强地震作用下趋于脆性破坏的特点,从而得出了一些对实践有益的结论。     

非线性噪声放大器频谱畸变分析

本文研究了噪声放大器非线性特性造成的频谱畸变失真,讨论了随机过程通过非线性系统前后的二阶矩特性变化及其关系,导出了通用的非线性系统的输出随机过程相关函数及功率谱的求解公式,并结合具体例子计算了不同噪声强度情况下的输出功率谱,实测结果验证了理论分析的正确性,最后是文章的结论。     

基于多元非线性回归算法的动车组变压器温度预测研究

对动车组状态参数进行预测是实现动车组数字化精准维修的重要前提之一.目前对动车组数据的利用方式主要以定量观测和定性分析为主,缺乏准确的状态预测量.为此,文章提出了一种基于多元非线性回归的预测算法,通过建立变压器温度预测模型,实现了变压器温度值的次日预测,并以此指导由温度导向的变压器日常运维项目.通过对比CRH5A型动车组...