压电智能结构拓扑优化研究进展

压电材料因其变形精度高、反应速度快、易于制作成小型化元件已经被广泛应用于精密驱动、振动控制、精确定位等领域.改变压电智能结构中压电元器件的位置、大小、形状等参数能够有效地改善系统的力学性能,因而吸引了许多学者和工程师的关注和研究.拓扑优化作为有效的优化工具,已经成功应用于压电智能结构的优化设计中.论文首先阐述了压电智能结构拓扑优化的背景和意义,简要回顾了压电智能结构主动控制及分析方法,并综述了面向结构静变形控制的压电智能结构优化、面向振动控制的压电智能结构优化、压电俘能器的设计与优化等三个方面的研究进展.最后,简单归纳压电智能结构拓扑优化研究中值得关注的几个问题.     

基于脉冲控制下的复杂时滞动力网络的鲁棒同步

近年来复杂网络已经引起了科学和工程技术等各个领域的广泛关注,尤其是复杂网络中的非线性动力学行为,以及网络的拓扑结构如何影响它的动力学行为的研究,已成为当前一项极其重要的战略课题.本文主要讨论基于脉冲控制下复杂时滞动力网络的同步动力学,应用时滞动力系统的脉冲控制理论,给出了复杂时滞动力网络的一些简单而又一般的鲁棒同步化准则,这些准则能够提供一个新的和有效的控制方法来同步一个任意给定的时滞动力网络到一个期望的同步态,进一步地将所获得的结果应用到由混沌FHN神经元振子为动力节点所构成的一个具有近邻耦合结构的复杂动力网络,数值模拟表明了所获理论结果的正确性和控制方法的有效性.     

弹性波超材料板中拓扑交界态与缺陷保护的主动控制研究

在波动周期结构中,六边形单胞是常见的具有动态拓扑性质的重复单元。本文设计了具有主动控制特性的六边形单胞,通过粘贴压电片并连接负电容电路对材料参数进行调控,实现了弯曲波拓扑交界态传输与缺陷保护特性的主动控制,并发现了该保护行为具有方向选择特性。上述工作将物理学与声学中拓扑态概念引入到弹性波超材料板中,从而实现了其中弯曲波拓扑传输的主动控制功能。     

图论与复杂网络

近10年来迅猛发展起来的复杂网络理论为研究复杂性与复杂系统科学提供了一个重要支撑点,它高度概括了复杂系统的重要特征,无论是在理论还是在应用方面都具有很强的生命力,而且在各个方面都得到了很大发展.重点讨论图论在复杂网络中的应用,特别是代数图论在复杂网络同步问题中的应用.首先给出一些图的最小非零与最大特征值以及同步能力的估计,并且讨论了子图与图特征向量在同步能力估计中的作用.其次以两个简单图指出同步能力与网络结构参数的关系复杂,并给出补图与加边对同步研究的意义,然后给出图运算在复杂网络同步中的作用.最后从图论与控制理论角度展望了复杂网络领域未来可能的发展方向.      

航空结构动力学研究的进展与展望

飞机服役过程中,会经历地面滑行、空中机动等复杂的动态过程,飞机结构与系统在这些动态过程中将经受各类动态载荷的单独或联合作用,由此产生的结构动力学问题与飞机的服役安全和乘员的乘坐品质等直接相关,是航空工程中的关键技术难题。本研究梳理了军用飞机结构完整性大纲和结构强度规范,以及运输类飞机适航规章中的结构动力学相关要求,给出了结构动力学在航空装备研制流程中的相互关系,并从载荷、结构、响应和控制的角度,对航空结构动力学研究的主要问题进行了分类。从振动疲劳寿命预计与舒适性评估、振动主被动控制、复杂与极端环境结构动力学等几个重点方面,对航空结构动力学研究现状进行了综述,并结合未来航空装备研制的需求和振动新兴前沿技术的发展方向,对航空结构动力学的未来发展方向进行了展望。     

压电智能结构拓扑优化研究进展

压电材料因其变形精度高、反应速度快、易于制作成小型化元件已经被广泛应用于精密驱动、振动控制、精确定位等领域。改变压电智能结构中压电元器件的位置、大小、形状等参数能够有效地改善系统的力学性能,因而吸引了许多学者和工程师的关注和研究。拓扑优化作为有效的优化工具,已经成功应用于压电智能结构的优化设计中。本文首先阐述了压电智能结构拓扑优化的背景和意义,简要回顾了压电智能结构主动控制及分析方法,并综述了面向结构静变形控制的压电智能结构优化、面向振动控制的压电智能结构优化、压电俘能器的设计与优化等三个方面的研究进展。最后,简单归纳压电智能结构拓扑优化研究中值得关注的几个问题。     

基于广义预测控制的结构半主动控制研究

相对于主动控制和被动控制来讲,半主动控制具有一些更好的特色,对结构控制的应用有着较强的吸引力。本文以可调液柱阻尼器(TLCD)作为作动器来实现结构半主动控制,考虑到TLCD具有非线性阻尼特性,为了使结构控制能够顺利实现,本文采用了阶跃控制函数。为了使TLCD能够应用于实际结构,本文研究了基于离散状态方程的广义预测控制方法,并提出了单向控制策略。本文最后给出了计算实例。算例表明这一方法是有效的。     

数字式惯性平台稳定回路的离散变结构控制

为了实际实现具有良好跟踪精度和抗干扰能力的惯性平台稳定回路,建立了平台伺服电机的离散时间模型,设计了由单片机和高速DSP组成的数字控制系统,与惯性平台组成了基于采样数据的平台稳定控制回路,研究了离散变结构控制趋近律的选取方法,采用改进趋近律设计了离散变结构控制律,提出了一种数字式平台稳定回路的离散变结构控制方法,通过实物实验得出了平台伺服电机转轴摩擦力矩模型系数的估计值,并将其引入到控制系统中.仿真实验结果表明,该回路系统对于摩擦力矩和系统参数不确定性具有一定的抗干扰性能,对于阶跃干扰力矩输入具有良好的动态特性,且静态力矩刚度提高到1.2×104 N.m/rad,系统对于斜坡和加速度输入信号实现了平稳跟踪,跟踪误差最大值分别为0.0056 rad和0.0597 rad.     

低雷诺数俯仰振荡翼型等离子体流动控制

针对低雷诺数翼型气动性能差的特点, 通过介质阻挡放电(dielectric barrier discharge, DBD)等离子体激励控制的方法, 提高翼型低雷诺数下的气动特性,改善其流场结构. 采用二维准直接数值模拟方法求解非定常不可压Navier-Stokes方程,对具有俯仰运动的NACA0012翼型的低雷诺数流动展开数值模拟.同时将介质阻挡放电激励对流动的作用以彻体力源项的形式加入Navier-Stokes方程,通过数值模拟探究稳态DBD等离子体激励对俯仰振荡NACA0012翼型气动特性和流场特性的影响.为了进行流动控制, 分别在上下表面的前缘和后缘处安装DBD等离子体激励器,并提出四种激励器的开环控制策略,通过对比研究了这些控制策略在不同雷诺数、不同减缩频率以及激励位置下的控制效果.通过流场结构和动态压强分析了等离子体进行流场控制的机理. 结果表明,前缘DBD控制中控制策略B(负攻角时开启上表面激励器,正攻角时开启下表面激励器)效果最好,后缘DBD控制中控制策略C(逆时针旋转时开启上表面激励器,顺时针旋转时开启下表面激励器)效果最好,前缘DBD控制效果会随着减缩频率的增大而下降, 同时会导致阻力增大.而后缘DBD控制可以减小压差阻力, 优于前缘DBD控制,对于计算的所有减缩频率(5.01~11.82)都有较好的增升减阻效果.在不同雷诺数下, DBD控制的增升效果较为稳定, 而减阻效果随着雷诺数的降低而变差,这是由流体黏性效应增强导致的.      

复杂网络上的博弈

博弈理论在社会、经济、生物以及生态等系统中存在着广泛的应用,复杂网络理论则是研究复杂系统全新而有力的工具,因此将博弈理论与复杂网络理论相结合成为研究复杂系统一个新的热点.概述国内外当前关于复杂网络上博弈动力学的研究情况和发展动态,包括基本的博弈模型、主要关注的问题、以及网络结构和博弈动力学的相互作用等,最后探讨进一步的研究课题.      

Synchronized regions of pinned complex networks: spectral analysis

The synchronization problem for a complex dynamical network is investigated in this paper from a spectral analysis approach. It is assumed that only a small portion of the nodes in the network are chosen to be controlled, known as the pinning control scheme. Some new types of synchronized regions for networks with different node dynamics and inner-coupling structures are discovered, especially for the case of the special chaotic node systems with a stable equilibrium point under fully anti-diagonal and partially anti-diagonal couplings. The eigenvalue distributions of the coupling and control matrices for different types of complex networks are obtained. The effects of the network topology, global coupling strength, pinning density, and pinning strength on the network synchronizability are examined through extensive numerical simulations. It is shown that the synchronizability of the pinned network can be effectively improved by increasing the overall coupling strength, pinning density, and pinning strength for some classes of synchronized regions, whereas too large the pinning density and pinning strength will lead to desynchronization for other classes. It is found that small-world networks are not always easier to synchronize than regular rings, and a denser eigenvalue distribution may not always imply better synchronizability.     

Impulsive pinning complex dynamical networks and applications to firing neuronal synchronization

The primary objective of this paper is to propose a new approach for analyzing pinning stability in a complex dynamical network via impulsive control. A?simple yet generic criterion of impulsive pinning synchronization for such coupled oscillator network is derived analytically. It is shown that a single impulsive controller can always pin a given complex dynamical network to a homogeneous solution. Subsequently, the theoretic result is applied to a small-world (SW) neuronal network comprised of the Hindmarsh?CRose oscillators. It turns out that the firing activities of a single neuron can induce synchronization of the underlying neuronal networks. This conclusion is obviously in consistence with empirical evidence from the biological experiments, which plays a significant role in neural signal encoding and transduction of information processing for neuronal activity. Finally, simulations are provided to demonstrate the practical nature of the theoretical results.     

Pinning adaptive synchronization of complex dynamical network with multi-links

Networks with multi-links are universal in the real world such as communication networks, transport networks, and social networks. It is important for us to investigate the control of complex dynamical network with multi-links. In this paper, both local and global stabilities of dynamical network with multi-links are analyzed by applying adaptive control theory and mathematical tools, and some new criteria are proposed to ensure the pinning synchronization. We find that the number of pinned nodes satisfies an inequality for synchronization. Additionally, we solve the problem of how much the coupling strength we need to achieve network synchronization with one pinned node in the network system with multi-links. Finally, numerical examples are used to illustrate the effectiveness of the proposed method.     

Pinning synchronization for directed networks with node balance via adaptive intermittent control

In this paper, the problem of synchronization control for directed networks with node balance is investigated. First, a dynamical model of directed network is proposed. Additionally, a new adaptive intermittent scheme is introduced to realize pinning synchronization and some novel criteria are derived by constructing a piecewise auxiliary function and utilizing piecewise analysis method and the theory of series. Based on those criteria, a feasible bound of the rate of control time is given. Finally, some examples with numerical simulations are given to demonstrate the effectiveness of the results derived.

     

Synchronization analysis of directed complex networks with time-delayed dynamical nodes and impulsive effects

In this paper, the effect of impulses on the synchronization of a class of general delayed dynamical networks is analyzed. The network topology is assumed to be directed and weakly connected with a spanning tree. Two types of impulses occurred in the states of nodes are considered: (i) synchronizing impulses meaning that they can enhance the synchronization of dynamical networks; and (ii) desynchronizing impulses defined as the impulsive effects can suppress the synchronization of dynamical networks. For each type of impulses, some novel and less conservative globally exponential synchronization criteria are derived by using the concept of average impulsive interval and the comparison principle. It is shown that the derived criteria are closely related with impulse strengths, average impulsive interval, and topology structure of the networks. The obtained results not only can provide an effective impulsive control strategy to synchronize an arbitrary given delayed dynamical network even if the original network may be asynchronous itself but also indicate that under which impulsive perturbations globally exponential synchronization of the underlying delayed dynamical networks can be preserved. Numerical simulations are finally given to demonstrate the effectiveness of the theoretical results.     

A new pinning control scheme of complex networks based on data flow

In this paper, a new pinning control scheme called DF (data flow)-based pinning scheme is proposed. The new scheme can obtain the similar pinning efficiency with BC-based pinning scheme in real-world networks. Comparing with BC-based pinning scheme, DF-based pinning scheme has two main advantages. First, it just needs local information of network. Second, the new pinning scheme has a much lower time complexity than BC-based pinning scheme. In this paper, we have pinned two real-world networks (the US airline routing map network and the protein–protein network in yeast) to compare the new pinning scheme with degree-based, BC-based, LBC-based pinning schemes and we also pin a small-world network, a scale-free network to analyze DF-based pinning scheme in detail. Based on the Lyapunov stability theory, the validity of the scheme is proved. Finally, the numerical simulations are verified the effectiveness of the proposed method.     

Pinning synchronization of complex directed dynamical networks under decentralized adaptive strategy for aperiodically intermittent control

In this paper, the problem of global synchronization for complex directed dynamical networks via adaptive aperiodically intermittent pinning control is studied. By constructing a piecewise Lyapunov function, some sufficient conditions to guarantee global synchronization are derived based on the analytical technique and theory of series with nonnegative terms. Different from previous works, the adaptive intermittent pinning control is aperiodic with non-fixed both control period and control width, and moreover, the adaptive approach is decentralized relying only on the state information of the controlled node. Hence, the adaptive intermittent pinning control strategy proposed in this paper is more practically applicable than those in previous works. Additionally, it is noted that the derived synchronization criteria are dependent on the control rates, but not the control widths or the control periods, which makes the theoretical results are less conservative than the corresponding results given in the existing works. A numerical example is finally provided to illustrate the validity of our theoretical results.     

The chaotic dynamics of the social behavior selection networks in crowd simulation

This paper researches the nonlinear dynamics of the behavior selection networks (BSN) model by virtue of which we can understand the origin of flocking behaviors in social networks. To commentate the notion of BSN, this article introduces a social behavior selection model for evolutionary dynamics of behaviors in social networks that exhibits a rich set of emergent behaviors of evolution. For behavioral networks with different complex networks topology, we analyze the nonlinear dynamics including the chaotic dynamics by the numerical simulation tools. With changing the topological structure, the behavioral networks behave affluent dynamical phenomena. Lastly, we draw the conclusion and paste the prospection about the networks model.     

Adaptive synchronization of T-S fuzzy complex networks with time-varying delays via the pinning control method

In this paper, the synchronization of Takagi–Sugeno (T-S) fuzzy complex networks with time-varying delays and adaptive coupling weights is studied. Using the pinning control and adaptive feedback strategy, a new general class of complex networks with fuzzy logic is proposed and its synchronization is investigated in terms of linear matrix inequalities (LMIs). The adaptive update law of coupling weight is only related to the dynamical behaviors of directly connected nodes. Based on the Lyapunov stability theory, it is proven that the synchronization of the addressed network can be achieved under those control strategies. Finally, two numerical examples are given to verify the effectiveness of our theoretical results.     

Adaptive projective synchronization of dynamical networks with distributed time delays

In this paper, the adaptive projective synchronization of dynamical network with distributed time delays is investigated. Network with unknown topology and network with both unknown topology and system parameters of node dynamics are considered respectively. Based on Lyapunov stability theory and LaSalle’s invariance principle, the sufficient conditions for achieving projective synchronization are obtained. Numerical examples are provided to show the effectiveness of the proposed method.