基于单元密度进化步长控制的双向渐进结构优化方法

在渐进结构优化方法中,单元密度的进化步长是获得全局最优解的关键因素之一。为了提高渐进结构优化方法的全局寻优能力,提出一种基于单元密度进化步长控制的双向渐进结构优化方法。该方法根据各单元对结构性能影响的权重系数,建立单元密度进化步长的控制模型以控制主/次要单元的删除速率和添加速率,减小灵敏度误差并抑制灰度单元的产生。在控制单元密度进化步长的基础上结合双向渐进结构优化方法中添加单元的特点,以避免由于误删单元导致优化失败。同时,采用灵敏度再分配技术抑制棋盘格式以获得更平滑的优化构形。最后,通过两个算例验证了本文方法能有效地通过控制单元密度进化步长提高全局寻优能力。     

连续时间系统的混沌同步

本文讨论混沌连续时间系统的完全同步问题，提出一个构造混沌同步系统的新方法。这个方法基于线性系统的稳定性分析准则。通过对系统线性项与非线性项的适当分离，当系统的雅可比矩阵的所有特征值都具有负实部时，同步误差e(t)的线性系统是渐进稳定的，即可实现新系统和原系统的完全同步。新方法不需计算条件Lyapunov指数以作为判定同步的条件，因而比通用方法更为简单有效。新方法适用于自治或非自治系统，尤其适用于具有多于两个正Lyapunov指数的超混沌系统。甚至当初始同步误差极大时，也能实现理想的混沌同步。以Lorenz系统，耦合Duffing振子系统和超混沌Roessler系统作为算例。数值计算结果证实所提出方法的有效性和鲁棒性。     

基于输出的建筑结构分散滑模控制

大尺度结构分解为多个低阶子结构,子结构间的相互作用视为作用于子结构的有界扰动。本文提出了一种基于部分位移、速度输出反馈的建筑结构分散控制方法。分析了输出坐标下子结构稳定滑模的存在条件,得到输出坐标下子结构稳定滑模面方程。建立了基于输出的稳定分散控制格式,其中控制力非线性部分保证结构全局状态收敛至设计的滑模面,线性部分使建筑结构闭环子结构系统渐进稳定。以一20层钢结构基准模型在地震激励下的控制为例,验证了该分散控制的有效性。研究表明,使用部分位移、速度输出信号可以设计基于全局稳定的建筑结构分散滑模控制。所提控制方法有效抑制了大尺度建筑结构振动响应,避免了滑模设计所需的复杂坐标变换,简化了基于输出的稳定滑模设计。     

脉冲反馈法抑制混沌的机理

在混沌系统的参数空间内，具有稳定行煤的参数区域常被称为窗口，脉冲反馈方法抑制混沌的机理之一，是使混沌中的不稳定模式转化为混沌窗口状态中某个稳定的模式。在此基础上，允许保留原系统的合量的运动特性，使稳化的周期轨道能得以保持，或产生倍化的周期解。文中运用大量前人的成功控制裕列对所提出的控制机理进行了分析和验证。     

建筑结构多级分散稳定控制

建立大尺度建筑结构线性时不变分散控制模型。采用局部控制器和全局控制器的多级控制方法使闭环大系统分散稳定,并用H∞控制方法得到了建筑结构各独立子结构的局部控制器。通过构造特定的正定矩阵,将各独立子结构控制系统集结为整体结构的Lypunov函数;根据全局稳定条件,得到了满足建筑结构整体稳定性条件的全局控制器。进一步将全局控制器和局部控制器统一为一组线性矩阵不等式的优化设计,分析了由全局状态和部分状态设计全局控制器的方法。以20层钢结构基准模型在地震激励下的控制为例,验证了该多级分散控制的有效性。研究表明:该多级分散控制方法可以对大尺度建筑结构的位移、加速度等地震响应进行有效控制;采用部分结构状态设计的全局控制器可以协调子结构之间的振动影响,实现整体结构的稳定。     

惯性导航系统初始对准与标定最优化方法

从随机闭环控制系统架构出发,提出了基于随机线性控制分离性定理的惯性导航系统初始对准与标定最优化方法.内容包括:系统建模、卡尔曼滤波器设计与稳定性充要条件、随机线性控制系统最优控制律及闭环稳定性充要条件、保证初始对准与标定稳定收敛的设计准则,以及应用于空间稳定惯性导航系统初始对准与标定过程所得到的试验结果.理论分析和实验结果表明,提出的最优化方法是切实可行的,通过调整系统极点配置或全状态修正时间间隔可以实现在容许控制律条件下的最优性,最优闭环控制所产生的系统导航精度比常规的卡尔曼滤波一一开环控制有显著提高.     

加窗渐进结构优化算法

渐进结构优化算法通常用于寻找结构最优的拓扑形状,指导结构的设计。但其删除准则的缺陷易引起计算效率低等一系列问题。本文对删除准则进行了改进,提出了加窗渐进结构优化算法。该算法引入结构整体平均应变能密度作为单元删除准则,同时将单元删除率设定为窗口可调的自适应状态。该算法一定程度上解决了传统渐进结构优化算法中计算效率较低和优化过程易发生畸变的问题,且推广至高阶有限元单元应用后扩大了其应用范围。通过与Michell理论解对比,其构造的拓扑的可靠性也得到了证明。     

耗散系统的虚功变分不等式及其应用

对于保守系统,能量变分原理为推导力学系统控制方程提供了简洁的途径.对于耗散系统,控制方程的建立往往需要引入经验的或理性的假定,增大了建模的难度.针对耗散系统,引入系统局部稳定的概念,并在此基础上,提出一类虚功变分不等式.这一不等式事实上揭示了耗散系统的一类虚功不等原理.该原理的物理含义为:使系统状态稳定的必要条件是,在该状态附近所有可能的虚拟路径上系统释放的势能不大于系统耗散的能量.研究表明:仅需结合虚功不等原理和能量守恒原理,即可导出准静态系统力学状态量的全部控制方程.作为应用,文章重新讨论了塑性力学,结合虚功不等原理与能量守恒原理,导出经典塑性力学的全部控制方程,并证明了经典的最大塑性耗散原理可以作为虚功不等原理的推论导出;同时,以Mohr-Coulomb强度准则为例,讨论了虚功不等原理在强度理论中的应用,说明基于应力的强度准则可以是基于能量的稳定性准则的推论.上述例子说明了虚功不等原理的广泛适用性和在建立耗散系统控制方程中的有效性.     

冗余桁架结构系统可靠性分析理论与算法

在阶段临界强度分枝-约界准则的基础上结合网络分析技术,提出了适用于大中型结构自动化可靠性分析的全局临界强度分枝-约界准则和相应的算法。该算法在一级和多级搜索纵深的条件下,可严格确保不遗漏结构系统的主要失效模式,数值计算结果表明,该算法具有良好的收敛效率。     

基于滑模理论的建筑结构分散稳定控制

基于大系统分散控制思想,将大尺度高阶建筑结构系统分解为多个子结构系统;子结构之间的相互耦合作用视为有界广义力,得到以状态方程形式的子结构模型。利用滑模理论的抗摄动条件,设计具有全局稳定的子结构滑动模态轨迹,利用子结构系统局部状态实现全局稳定的控制力条件,并以参数ρi实现各子结构间的调节,建立稳定的分散控制格式。在控制算法中采用了准滑模控制方法,克服变结构滑动模态中的抖振影响。利用本文方法,对20层钢结构基准模型在地震激励下的控制进行设计并数值仿真,验证了该方法的有效性。     

Global Mittag-Leffler stability and synchronization of impulsive fractional-order neural networks with time-varying delays

In this paper we consider a class of impulsive Caputo fractional-order cellular neural networks with time-varying delays. Applying the fractional Lyapunov method and Mittag-Leffler functions, we give sufficient conditions for global Mittag-Leffler stability which implies global asymptotic stability of the network equilibrium. Our results provide a design method of impulsive control law which globally asymptotically stabilizes the impulse free fractional-order neural network time-delay model. The synchronization of fractional chaotic networks via non-impulsive linear controller is also considered. Illustrative examples are given to demonstrate the effectiveness of the obtained results.     

Projective synchronization in a driven-response dynamical network with coupling time-varying delay

This paper studies the projective synchronization in a driven-response dynamical network with coupling time-varying delay model via impulsive control, in which the weights of links are time varying. Based on the stability analysis of the impulsive functional differential equations, some sufficient conditions for the projective synchronization are derived. Numerical simulations are provided to verify the correctness and effectiveness of the proposed method and results.     

Impulsive control and synchronization of a new unified hyperchaotic system with varying control gains and impulsive intervals

In this paper, we investigate the impulsive control and synchronization of a new unified hyperchaotic system. This new system unifies both the hyperchaotic Lorenz system and the hyperchaotic Chen system. Some conditions are given to guarantee the global asymptotic stability of the controlled and synchronized system. The control gains and impulsive intervals are both variable. Moreover, we estimate the upper bound of impulsive interval for stable control and synchronization. Simulations are included to show the effectiveness of the theoretical results.     

Globally exponential stability of stochastic neutral-type delayed neural networks with impulsive perturbations and Markovian switching

The problem of globally exponential stability of stochastic neutral-type delayed neural networks with impulsive perturbations and Markovian switching is studied in this paper. By using the Lyapunov?CKrasovskii method and the stochastic analysis approach, a sufficient condition to ensure globally exponential stability for the stochastic neutral-type delayed neural networks with impulsive perturbations and Markovian switching is derived. Finally, a numerical example is given to illustrate the effectiveness of the result proposed in this paper.     

Interval analysis method and convex models for impulsive response of structures with uncertain-but-bounded external loads

Two non-probabilistic, set-theoretical methods for determining the maximum and minimum impulsive responses of structures to uncertain-but-bounded impulses are presented. They are, respectively, based on the theories of interval mathematics and convex models. The uncertain-but-bounded impulses are assumed to be a convex set, hyper-rectangle or ellipsoid. For the two non-probabilistic methods, less prior information is required about the uncertain nature of impulses than the probabilistic model. Comparisons between the interval analysis method and the convex model, which are developed as an anti-optimization problem of finding the least favorable impulsive response and the most favorable impulsive response, are made through mathematical analyses and numerical calculations. The results of this study indicate that under the condition of the interval vector being determined from an ellipsoid containing the uncertain impulses, the width of the impulsive responses predicted by the interval analysis method is larger than that by the convex model; under the condition of the ellipsoid being determined from an interval vector containing the uncertain impulses, the width of the interval impulsive responses obtained by the interval analysis method is smaller than that by the convex model.The project supported by the National Outstanding Youth Science Foundation of China (10425208), the National Natural Science Foundation of China and Institute of Engineering Physics of China (10376002) The English text was polished by Keren Wang.     

Reliable impulsive lag synchronization for a class of nonlinear discrete chaotic systems

The problem of reliable impulsive lag synchronization for a class of nonlinear discrete chaotic systems is investigated in this paper. Firstly a reliable impulsive controller is designed by the impulsive control theory. Then, some sufficient conditions for reliable impulsive lag synchronization between the drive system and the response system are obtained. Numerical simulations are given to show the effectiveness of the proposed method.     

Control of three-dimensional incompressible hyperelastic beams

This paper investigates the synchronization of two memristive chaotic circuits via state-dependent impulsive control. Different from most existing publications, impulses occurring is not at fixed instants but depends on the states of systems. Furthermore, the state variables of the driving system (driving system which does not involve the impulses) are transmitted to the response system, and then the state variables of response system are subjected to jumps at the state-dependent impulsive instants, and ultimately to achieve synchronization. Based on the Lyapunov stability theory, impulsive differential equation, and inequality techniques, the sufficient conditions with theoretical demonstration ensuring every solution of error system intersects each surface of the discontinuity exactly once are derived. Then, by applying B-equivalence method, the error system with state-dependent impulses can be reduced to the case of fixed-time impulses. Finally, the numerical simulations are carried out to demonstrate the effectiveness of the obtained results.     

Impulsive stabilization and synchronization of electro-mechanical gyrostat systems

The electro-mechanical gyrostat system has become a fundamental model of nonlinear dynamics due to its potential applications in practical engineering. It has also been intensively investigated in the last few years due to its intrinsic and complex nonlinear dynamical behaviors. This paper is mainly concerned on the issues of impulsive stabilization and synchronization of chaotic electro-mechanical gyrostat systems. Based on the practical stability theory of impulsive dynamical systems, some simple yet less conservative criteria ensuring impulsive stabilization and synchronization of electro-mechanical gyrostat systems are derived. Subsequently, numerical simulations are presented to demonstrate the effectiveness of the proposed control techniques.     

Robust H∞ filtering for discrete-time impulsive systems with uncertainty

This paper investigates robust filter design for linear discrete-time impulsive systems with uncertainty under H∞ performance. First, an impulsive linear filter and a robust H∞ filtering problem are introduced for a discrete-time impulsive systems. Then,a sufficient condition of asymptotical stability and H∞ performance for the filtering error systems are provided by the discrete-time Lyapunov function method. The filter gains can be obtained by solving a set of linear matrix inequalities (LMIs). Finally, a numerical example is presented to show effectiveness of the obtained result.     

Adaptive-impulsive projective synchronization of drive-response delayed complex dynamical networks with time-varying coupling

This paper investigates the adaptive-impulsive projective synchronization of drive-response delayed complex dynamical networks with time-varying coupling, in which the weights of links between two connected nodes are time varying. By the stability analysis of the impulsive functional differential equation, the sufficient conditions for achieving projective synchronization are obtained, and a hybrid controller, that is, an adaptive feedback controller with impulsive control effects is designed. The numerical examples are presented to illustrate the effectiveness and advantage of the proposed synchronization criteria.