一类具高阶非线性项的发展方程的准确周期解

本文导出了具高阶非线性项的Lienard方程的准确周期解并从理论上给予了证明,然后利用这些公式得到一大批具高阶非线性项的发展方程的各种Jacobi椭圆函数型的准确周期解,由此避免了一大类非线性发展方程求周期解时求解过程的重复。     

Sensitivity analysis of nonlinear fractional order control systems with state delay

In this paper, we consider a class of nonlinear fractional order control system with delay in state variable. Existence and uniqueness of solution are shown by using method of steps. The sensitivity of the state and control with respect to the parameters of the system is shown. Finally, analytical results are substantiated by numerical examples.     

Contribution to the decoupled control of large-scale mechanical systems

This paper presents the concept of decomposition as applied to the control synthesis of multivariable mechanical systems, in which the coupling among the subsystems can be very strong. The system class considered contains subsystems with powered degrees of freedom, as well as subsystems without their own actuators. Global control is introduced to diminish the influence of coupling on the stability of the whole system. The procedure is illustrated by simulation of two examples, one in robotics, the other in biomechanics.     

机翼摇晃模型综述

对30多年来在机翼摇晃模型方面的研究成果进行了综述,仿真、解析归纳了目前机翼摇晃研究在理论建模方面存在的问题,并对今后的发展方向提出了看法。     

非线性模拟电路的故障诊断方法

为了诊断非线性模拟电路中的故障,提出了一种基于节点电压增量线性相关性原理的诊断方法.通过对非线性元件的分段线性建模,说明故障造成的节点电压增量满足分段线性相关性.以节点电压平面上的折线作为故障特征构造故障字典,以实测工作点到故障特征折线的距离来衡量电路状态与故障特征的符合程度,可以诊断非线性电路中元件参数的软故障和硬故障.实例验证表明,该方法是一种易于计算机实现的实用化方法.     

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.     

计算机专业电路课程教学改革与实践

本文针对计算机专业电路课程教学工作中存在的问题,从课程体系、课程内容的调整与选择,教学方法、课程考核方法的改革等方面提出了若干改进措施和建议。