Skew-gradient representations of constrained mechanical systems

The characteristics of stationary and non-stationary skew-gradient systems are studied. The skew-gradient representations of holonomic systems, Birkhoffian systems, generalized Birkhoffian systems, and generalized Hamiltonian systems are given. The characteristics of skew-gradient systems are used to study integration and stability of the solution of constrained mechanical systems. Examples are given to illustrate applications of the result.     

Constrained mechanical systems and gradient systems with strong Lyapunov functions

The characteristics of stationary and non-stationary gradient systems with strong Lyapunov functions are studied. The conditions under which holonomic mechanical systems, generalized Birkhoff systems and generalized Hamilton systems can be considered as gradient systems are given. The characteristics of the gradient systems can be used to study the stability of the mechanical systems. Some examples are given to illustrate the application of the results.     

A new type of four-wing chaotic attractors in 3-D quadratic autonomous systems

In this paper, several smooth canonical 3-D continuous autonomous systems are proposed in terms of the coefficients of nonlinear terms. These systems are derived from the existing 3-D four-wing smooth continuous autonomous chaotic systems. These new systems are the simplest chaotic attractor systems which can exhibit four wings. They have the basic structure of the existing 3-D four-wing systems, which means they can be extended to the existing 3-D four-wing chaotic systems by adding some linear and/or quadratic terms. Two of these systems are analyzed. Although the two systems are similar to each other in structure, they are different in dynamics. One is sensitive to the initializations and sampling time, but another is not, which is shown by comparing Lyapunov exponents, bifurcation diagrams, and Poincaré maps.     

Mei’s symmetry theorem for time scales nonshifted mechanical systems

We focus on Mei symmetry for time scales nonshifted mechanical systems within Lagrangian framework and its resulting new conserved quantities. Firstly, the dynamic equations of time scales nonshifted holonomic systems and time scales nonshifted nonholonomic systems are derived from the generalized Hamilton’s principle. Secondly, the definitions of Mei symmetry on time scales are given and its criterions are deduced. Finally, Mei’s symmetry theorems for time scales nonshifted holonomic conservative systems, time scales nonshifted holonomic nonconservative systems and time scales nonshifted nonholonomic systems are established and proved, and new conserved quantities of above systems are obtained. Results are illustrated with two examples.     

GENERALIZED CANONICAL TRANSFORMATION AND SYMPLECTIC ALGORITHM OF THE AUTONOMOUS BIRKHOFFIAN SYSTEMS

The Birkhoff systems are the generalization of the Hamiltonian systems. Generalized canonical transformations are studied. The symplectic algorithm of the Hamiltonian systems is extended into that of the Birkhoffian systems . Symplectic differential scheme of autonomous Birkhoffian systems was structured and discussed by introducing the Kailey Transformation .     

Algebraic structures and poisson integrals of relativistic dynamical equations for rotational systems

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一种用于非线性振动系统的模态分析方法

本文提出了一种用于非线性振动系统的模态分析方法,将求解非线性系统模态的问题化为求解非线性特征值、特征向量的问题,利用模态研究系统的响应,文中分析了非线性保守系统、非线性自治系统和非线性非自治系统的线性模态,导出了三个模态包含原理。     

非光滑多体系统动力学数值算法的研究进展

非光滑多体系统动力学数值计算方法是多体系统动力学研究的重要内容之一. 本文介绍了近年来含摩擦与碰撞的非光滑多体系统动力学数值算法方面的研究进展. 首先, 讨论了库仑摩擦模型和修正的库仑摩擦模型, 以及具有单边和双边约束的多体系统中法向约束力的特点. 其次, 回顾了基于连续模型和非连续模型的多体系统动力学方程的数值计算方法, 详细介绍了基于互补概念的非光滑多体系统动力学的事件驱动法和时间步进法, 分析比较了相关的数值算法. 最后, 指出了一些需要进一步研究的问题.     

A family of integrable systems of Liouville and lax representation,Darboux transformations for its constrained flows

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Integrated mechanical and control design of underactuated multibody systems

Multibody systems are called underactuated if they have less control inputs than degrees of freedom, e.g. due to passive joints or body flexibility. For trajectory tracking of underactuated multibody systems often advanced modern nonlinear control techniques are necessary. The analysis of underactuated multibody systems might show that they possess internal dynamics. Feedback linearization is only possible if the internal dynamics remain bounded, i.e. the system is minimum phase. Also feed-forward control design for minimum phase systems is much easier to realize than for non-minimum phase systems. However, often the initial design of an underactuated multibody system is non-minimum phase. Therefore, in this paper a procedure for integrated mechanical and control design is proposed such that minimum phase underactuated multibody systems are obtained. Thereby an optimization-based design process is used, whereby the geometric dimensions and mass distribution of the multibody systems are altered.     

Averaging Theory of Arbitrary Order for Piecewise Smooth Differential Systems and Its Application

The averaging theory for studying periodic orbits of smooth differential systems has a long history. Whereas the averaging theory for piecewise smooth differential systems appeared only in recent years, where the unperturbed systems are smooth. When the unperturbed systems are only piecewise smooth, there is not an existing averaging theory to study existence of periodic orbits of their perturbed systems. Here we establish such a theory for one dimensional perturbed piecewise smooth periodic differential equations. Then we show how to transform planar perturbed piecewise smooth differential systems to one dimensional piecewise smooth periodic differential equations when the unperturbed planar piecewise smooth differential systems have a family of periodic orbits. Finally as application of our theory we study limit cycle bifurcation of planar piecewise differential systems which are perturbation of a \(\Sigma \)-center.     

双频内共振系统的Normal Form及其简化

讨论双频内共振系统的 Normal Form及其降维问题.利用发展的 Normal Form直接方法,导出了任意双频内共振系统 Normal Form的一般形式.指出 Poincare共振项分为内共振项和非内共振性两类,并定义了内共振项的阶.提出了一种普遍适用的降维变换,并证明了该变换可将任意双频内共振系统的 Normal Form方程降到3维.应用举例表明,该变换不仅适用于半单问题,也适于非半单问题（即强:1:1内共振系统）.     

Poincare型胞映射分析方法及其应用

本文用Poincare型胞映射方法对平衡及不平．衡轴承转子非线性动力系统的全局特性进行了分析研究,同时求得了一定状态空间内系统存在的周期解及其在各不同Poincare截面上的吸引域,得到了一些新的现象和规律,并通过对平衡及不平衡轴承转子系统的全局特性异同的比较,说明了要建立既适用于平衡轴承转子系统又适用于不平衡轴承转子系统的非线性稳定性准则应注意的几个问题     

时滞系统动力学近期研究进展与展望

综述了1999年以来时滞系统动力学在力学、机械工程、航空航天、生态学、生物学、神经网络、激光、电子和信息技术、保密通讯和经济学等领域的研究进展, 总结了其中的研究方法. 通过本文可以看出时滞系统普遍存在于自然和工程实际中, 即使对已经非常熟悉的简单振子,考虑到时滞的影响, 仍有许多问题有待作更深入的理论研究和新现象的发现.针对以往研究中出现的问题, 提出今后几年的发展方向、建议和展望, 同时指出了在理论上急需解决的一些科学问题,例如以时滞反馈控制为中心的控制策略、非线性因素和时滞联合作用的影响、时滞导致的多级分岔使系统呈现出复杂动力学行为、以时滞状态变量耦合为中心构成的网络系统计算模型对系统的影响等问题都是非线性动力学系统所遇到的科学基础问题.      

Stress decomposition analysis in hard and soft sphere suspensions: double peaks in the elastic stress of hard sphere suspensions and its characteristic and structural origin

Brownian dynamics simulations under large amplitude oscillatory shear flow at an intermediate volume fraction in both hard and soft sphere systems have been carried out. Elastic and viscous stresses for the two systems are calculated by using the stress decomposition method. Careful investigation of “double peaks,” which are experimentally observed only in the elastic stress of hard sphere systems, has been conducted. When comparing hard and soft sphere systems in simulation, double peaks are observed only in hard sphere systems, within a specific strain amplitude range. The structures of hard sphere systems at different strain amplitudes, where double peaks appear and not, are compared. Excess entropy concept is adopted to evaluate the extent of particle alignment during the cycle. According to the structural analyses, double peaks are created when the structural difference between maximum-ordered and minimum-ordered states is large during 1 cycle.     

电子与光电产品设计中的结构动力学问题

电子装置与光电设备在许多工业领域和日常生活中都有广泛的应用. 这些产品在装配、运输和使用过程中经常会遭受一定的振动与冲击载荷, 因此振动与冲击可靠性是这些产品设计中必须考虑的一项重要性能. 特别是, 当前新技术日新月异, 新材料不断涌入, 如何在设计过程中分析振动与冲击的效应并采取防护措施就变得越来越重要. 本文概述电子装置与光电设备等产品设计中的动力学问题, 同时也对结构动力学本身提出新的研究课题.     

Exact solutions for stationary responses of several classes of nonlinear systems to parametric and/or external white noise excitations

The exact solutions for stationary responses of one class of the second order and three classes of higher order nonlinear systems to parametric and/or external white noise excitations are constructed by using Fokker-Planck-Kolmogorov equation approach. The conditions for the existence and uniqueness and the behavior of the solutions are discussed. All the systems under consideration are characterized by the dependence of nonconservative forces on the first integrals of the corresponding conservative systems and are called generalized-energy-dependent (G.E.D.) systems. It is shown taht for each of the four classes of G.E.D. nonlinear stochastic systems there is a family of non-G.E.D. systems which are equivalent to the G.E.D. system in the sense of having identical stationary solution. The way to find the equivalent stochastic systems for a given G.E.D. system is indicated and as an example, the equivalent stochastic systems for the second order G.E.D. nonlinear stochastic system are given. It is pointed out and illustrated with example that the exact stationary solutions for many non-G.E.D. nonlinear stochastic systems may be found by searching the equivalent G.E.D. systems.Project Supported by The National Natural Science Foundation of China. Accepted by XVIIth International Congress of Theoretical and Applied Mechanics.     

THEORETICAL ANALYSIS AND EXPERIMETNAL VERIFICATION FOR PAINLEV碋 PARADOX

含摩擦的多体系统可能存在Painlevé 疑难奇异性-- 多体系统的后续运动可能存在无解(非协调状态)或者多解(不确定状态). 实际系统总要运动下去, 而对应于非协调奇异性状态的多体系统将经历怎样的运动值得探讨. 从计算、实验和理论证明3 个角度研究Painlevé 疑难问题, 验证和证明了多体系统处于非协调状态时其后续运动的切向冲击特征, 并揭示了切向冲击运动的共同规律.     

Innovation Systems by Nonlinear Networks

Cellular Neural Networks (CNNs) constitute a powerful paradigm for modeling complex systems. Innovation systems are complex systems in which small and medium enterprises play the role of simple units interacting with each other. In this paper, innovation systems based on CNN are investigated. It is shown how a model based on CNN can reproduce the main features of innovation systems and how this model can be generalized to include different aspects of the actors of the financial market.