Robust H∞ filtering for discrete-time systems with Markovian switching and time-delays

The robust H∞ filtering problem for uncertain discrete-time Markovian jump linear systems with modedependent time-delays is investigated. Attention is focused on designing a Markovian jump linear filter that ensures robust stochastic stability while achieving a prescribed H∞ performance level of the resulting filtering error system, for all admissible uncertainties. The key features of the approach include the introduction of a new type of stochastic Lyapunov functional and some free weighting matrix variables. Sufficient conditions for the solvability of this problem are obtained in terms of a set of linear matrix inequalities. Numerical examples are provided to demonstrate the reduced conservatism of the proposed approach.     

双三轴正交测量系配准误差建模与校正研究

捷联式电子罗盘是一种利用地球磁场测量方向的系统,它是一个双三轴传感器测量系统.随着应用领域的拓宽和技术的发展,对罗盘的精度要求越来越高,在现罗盘硬件确定的条件下,要提高罗盘的精度,就要对两个传感器进行配准.通过采用坐标转换原理进行配准误差建模,用常用于地球物理学的反演算法,对误差进行估计和修正,最终实现罗盘传感器的配准标定.实验仿真表明,该法能明显的提高罗盘的精度.     

基于汽车电子机械制动系统的EBD/ABS研究

采用电子制动力分配(EBD)实现了采用电子机械制动(EMB)后的汽车前后轴间制动力分配,提出了基于EMB的制动防抱死(ABS)模糊PID控制算法.在建立EMB模型及整车模型的基础上对三种典型工况下的制动过程进行了仿真研究.结果表明,通过EBD能实现理想的制动力分配,基于EMB的ABS能把各车轮的滑移率精确地控制在目标滑移率附近,具有较强的鲁棒性.     

永磁直线同步电机二阶滑模控制仿真研究

针对机床进给系统中永磁直线同步电机在运行过程中,易受系统参数变化、负载扰动及端部效应等不确定性因素影响的特点,设计了二阶滑模速度和电流控制器.在出现参数和推力变化时,为保证动子速度严格跟踪其参考信号,同时消除磁阻作用和推力波动,分别独立选取速度和直轴电流控制的滑模量.控制律采用二阶滑模的螺旋算法,二阶滑模将不连续控制作用于变量的高阶微分上,理论上可消除抖振.仿真和实验结果表明该策略具有较强的速度跟踪性能,对负载扰动和参数变化等不确定性具有很强的鲁棒性,同时有效地削弱了抖振现象.     

基于PIλDμ控制器的一种线性系统辨识方法研究

近年来,分数阶控制研究愈来愈被关注.传统系统参数辨识算法主要基于在某种意义下的最优数据拟合思想,往往比较复杂、计算量大.我们将辨识误差的抑制问题,看作是以误差方程来描述的系统的状态渐近稳定性来处理,从而将反馈控制的思想引入辨识算法中,提出了一种基于分数阶PIλDμ控制器的线性系统参数时域辨识算法,给出了递推算法的详细推导,并用已知系统仿真验证了算法的有效性.该算法简便、计算量小.仿真结果表明,该算法优于传统最小二乘法.     

Analysis of finite-time practical stability for time-varying polytopic systems

The problem of finite-time practical stability (FTPS) for time-varying polytopic systems is discussed. Three equivalent conditions for FTPS are first proposed. To facilitate the system analysis, a sufficient linear matrix inequality (LMI) criterion on the FTPS is further provided. The definition of finite-time practical boundedness and a sufficient LMI criterion are also provided to overcome the exogenous disturbance. A numerical example is used to illustrate the effect of the proposed approach.     

Testing serial correlation in semiparametric varying coefficient partially linear errors-in-variables model

The authors propose a V _{N, p} test statistic for testing finite-order serial correlation in a semiparametric varying coefficient partially linear errors-in-variables model. The test statistic is shown to have asymptotic normal distribution under the null hypothesis of no serial correlation. Some Monte Carlo experiments are conducted to examine the finite sample performance of the proposed V _{N, p} test statistic. Simulation results confirm that the proposed test performs satisfactorily in estimated size and power. This research is supported by the National Natural Science Foundation of China under Grant Nos. 10871217 and 40574003; the Science and Technology Project of Chongqing Education Committee under Grant No. KJ080609; the Doctor's Start-up Research Fund under Grant No. 08-52204; and the Youth Science Research Fund of Chongqing Technology and Business University under Grant No. 0852008.     

递推加权最小二乘算法的研究

通常在使用递推加权最小二乘算法时,需要设计矩阵列满秩.从极限理论的角度出发,对设计矩阵列不满秩时加权最小二乘估计的递推算法进行了理论证明和分析,得出了在任意第n步,未知参数估计值收敛于由前n组数据所决定的极小范数加权最小二来解,并且此解是唯一的,仿真结果同样验证了该结论的正确性.     

混合动力汽车机电复合制动控制系统研究

通过分析和研究混合动力汽车在低附着系数路面制动时制动系统的工作状态与要求,针对具有独立的电机回馈制动控制系统和独立的液压制动控制系统的混合动力汽车,设计了一种新颖的回馈制动与防抱死制动机电复合模糊控制系统.该两层分级控制系统顶层协调控制电机回馈制动与液压制动过程工况分配,底层协调控制力矩分配与调节.对控制策略与方法进行了研究并通过仿真与试验进行验证,结果表明车辆制动性能良好,能量回收制动力矩和液压制动力矩能够协同工作,部分制动能量被回馈储存,控制策略与方法有效且鲁棒性好.     

基于神经网络的并联式混合动力汽车控制策略

为提高并联式混合动力汽车的燃油经济性和控制系统的响应时间,应用神经网络实现控制策略.首先,结合逻辑门限控制策略和等效燃油消耗最小原理制定控制策略,并根据电池的荷电状态(SOC)进行调整.然后将调整后的策略在典型工况JA1015循环上实验,采集合理样本来训练对角回归型神经网络(DRNN),获得基于神经网络的控制策略.最后,在电动汽车仿真软件ADVISOR平台上进行仿真实验,仿真结果表明,采用神经网络的控制策略,提高了并联式混合动力汽车的燃油经济性,响应快,且具有通用性.