基于经典控制理论的控制系统计算机辅助设计软件

频率法和根轨迹法是经典控制理论的两个基本的控制系统设计与分析方法。本文主要介绍的两个计算机辅助设计（ＣＡＤ）软件，分别建立在频率法和根轨迹法的基础上。通过这两个ＣＡＮ软件，可以根据给定的单输入单输出（ＳＩＳＯ）控制系统数学模型，进行各种计算，从而得到我们所需要的结果．     

Adaptive generalized projective synchronization of two different chaotic systems with unknown parameters

This paper presents a general method of the generalized projective synchronization and the parameter identification between two different chaotic systems with unknown parameters. This approach is based on Lyapunov stability theory, and employs a combination of feedback control and adaptive control. With this method one can achieve the generalized projective synchronization and realize the parameter identifications between almost all chaotic （hyperchaotic） systems with unknown parameters. Numerical simulations results are presented to demonstrate the effectiveness of the method.     

基于水声信道传播时延排序的分层空时信号检测

基于分层空时编码的多输入多输出技术是一种极具潜力的高速水声通信技术, 但要实现这种潜力需要复杂的空时信号处理方法, 以抵消来自水声信道的多径干扰和异步到达干扰, 以及叠加在接收端的各层信号之间的干扰. 对低复杂度的空时信号处理方案进行了研究, 提出了一种基于子信道传播时延排序的有序连续干扰抵消信号检测算法, 利用子信道间的传播时延差, 实现可使差错概率最小的最佳检测排序; 给出了利用信道估计, 以极低的计算量确定排序的方法, 从而可以大幅降低信号检测的计算复杂度. 采用低复杂度的单载波频域均衡来抵消水声信道中的码间干扰和异步到达干扰. 仿真结果表明, 基于时延排序的信号处理算法可以获得检测性能的改善, 而且性能增益在高数据率时更加显著. 研究结果表明, 采用有效的信号处理方法可使水声信道中造成信号检测干扰的传播时延成为改善系统性能的有利因素.     

一维半线性双曲型方程未知源的反问题

We concern the inverse problem of determination of unknown source term for one-dimensional hyperbolic half-linear equation. Approach form for inverse problem is given by using correlative problem of assistant. We concern more ordinary problem than this paper, which is turned into integral equation with the method of characteristic line. We prove the existence and uniqueness of part solution for inverse problem, and unknown source can be solved bv successive approximation.     

Observer-based passive control for uncertain linear systems with delay in state and control input

This paper deals with the robust passivity synthesis problem for a class of uncertain linear systems with time-varying delay in state and control input. The parameter uncertainties are norm-bounded and allowed to appear in all matrices of the model. The problem aims at designing an observer-based dynamic output-feedback controller that robustly stabilizes the uncertain systems and achieves the strict passivity of closed-loop systems for all admissible uncertainties. By converting the problem at hand into a class of strictly passive control problem for a parameterized system, the explicit solution is established and expressed in terms of a linear matrix inequality. A numerical example is provided to demonstrate the validity of the proposed approach.     

Scheme for entangling atom-photon pairs via an input light in superposition state

We propose a feasible scheme to create macroscopically entangled atom-photon pairs by preparing an input optical superposition state. Several interesting non-classical quantum statistical effects like the atomic squeezed effects are clearly demonstrated. The making and manipulation of entangled atom-photon pairs are useful for, e.g., high-precision interferometry and quantum information science.     

Long-Range Interactions between Nematicons

We theoretically and experimentally investigate the long-range interaction between nematicons. It is demonstrated that the interaction becomes strongest when the pretilt angle of liquid crystal molecules is nearly π/4 for a given single-beam input power P0, and that the interaction becomes stronger when the incident power Po increases at a given pretilt angle. In this way, the interaction is still observed when the initial separation is 43 times of the soliton width, much larger than that implemented in lead glasses [Nature Phys. 2 （2006） 769].     

A novel robust proportional-integral （PI） adaptive observer design for chaos synchronization

In this paper, chaos synchronization in the presence of parameter uncertainty, observer gain perturbation and exogenous input disturbance is considered. A nonlinear non-fragile proportional-integral (PI) adaptive observer is designed for the synchronization of chaotic systems; its stability conditions based on the Lyapunov technique are derived. The observer proportional and integral gains, by converting the conditions into linear matrix inequality (LMI), are optimally selected from solutions that satisfy the observer stability conditions such that the effect of disturbance on the synchronization error becomes minimized. To show the effectiveness of the proposed method, simulation results for the synchronization of a Lorenz chaotic system with unknown parameters in the presence of an exogenous input disturbance and abrupt gain perturbation are reported.     

动态输入率和服务率设定下的M/M/c模型扩展及其应用

为了解决M/M/c模型中恒定输入率和服务率假设与现实现象不符的问题,本文提出了随系统状态变化的输入概率和服务度,并通过新输入概率与平均输入率以及新服务度与平均服务率的结合分别构造了动态输入率和服务率。基于上述动态输入率和动态服务率,建立了依赖系统当前状态的状态转移过程,从状态转换强度方面优化了排队理论及其度量模型,同时,设计了结合系统实际的后确定法求解动态输入率与服务率的相关参数,从而构建了扩展M/M/c模型。由于输入率和服务率的动态性,扩展M/M/c模型具有比原排队论模型更广的适用范围和精度更高的模拟结果。最后,通过一个生活实例对新模型的有效性和实用性进行验证。     

未知纬度的捷联惯导系统晃动基座自对准方法

传统捷联惯导系统晃动基座对准方法中,一般要求提供当地准确的地理纬度信息,如果给定的纬度存在误差,会对初始对准精度造成影响.针对纬度未知情况下的晃动基座对准问题,提出了利用三个不同时刻的重力视运动向量的运算进行对准的方法,推导了三矢量定姿对准的基本原理.针对含有随机噪声的加速度计测量值构造的重力视运动向量会导致向量运算时出现共线向量的问题,设计了一种基于平均权重系数的自适应卡尔曼滤波器,能在未知动态环境下有效去除加速度计随机噪声,提高对准精度.仿真和试验结果表明,该方法可在纬度未知条件下完成捷联惯导系统晃动基座下的自对准并估计出纬度值,对准精度可达惯性器件误差所决定的对准极限精度.