Nonlinear Differential Equations in {\mathcal{B}(\mathcal{H})} Motivated by Learning Models

We study a system of ordinary differential equations in B(H){\mathcal{B}(\mathcal{H})} , the space of all bounded linear operators on a separable Hilbert space H{\mathcal{H}} . The system considered is a natural generalization of the Oja–Cox–Adams learning models. We establish the local existence of solutions and solve explicitly the system for a class of initial conditions. For such cases, we also characterize the asymptotic behavior of solutions.     

三维电动力绳系子卫星轨道转移的最优控制

考虑复杂状态和控制约束的作用,研究了倾斜轨道上三维电动力绳系子卫星轨道转移的最优控制问题.借助Gauss伪谱算法,将绳系子卫星轨道转移的连续时间最优控制问题离散为大规模动态规划问题,并利用非线性规划方法进行求解.通过数值仿真计算了最优控制时间、子星最优转移轨道及最优控制张力和电流,同时讨论了轨道倾角对最优控制量的影响....     

Static response analysis of structures with interval parameters using the second-order Taylor series expansion and the DCA for QB

In this paper, based on the second-order Taylor series expansion and the difference of convex functions algorithm for quadratic problems with box constraints(the DCA for QB), a new method is proposed to solve the static response problem of structures with fairly large uncertainties in interval parameters. Although current methods are effective for solving the static response problem of structures with interval parameters with small uncertainties, these methods may fail to estimate the region of the static response of uncertain structures if the uncertainties in the parameters are fairly large. To resolve this problem, first, the general expression of the static response of structures in terms of structural parameters is derived based on the second-order Taylor series expansion. Then the problem of determining the bounds of the static response of uncertain structures is transformed into a series of quadratic problems with box constraints. These quadratic problems with box constraints can be solved using the DCA approach effectively. The numerical examples are given to illustrate the accuracy and the efficiency of the proposed method when comparing with other existing methods.     

Studies on optimal topology design of structures with discrete variables

Some problems in the optimal topology design of structures with discrete variables are studied in this paper. The problem of a model of discrete optimization is discussed and a neglected fact that discrete optimum design may be controlled by the discreteness of sizing variables and global constraints is pointed out. A heuristic algorithm for solving discrete topology optimization problems of trusses and frames is proposed.     

非光滑优化的双层规划模型及内点算法

对于包含接触约束的非光滑结构优化问题,其非光滑性体现在状态函数并不是处处可微的,针对含有应力约束及接触约束的非光滑结构优化问题,建立了一种双层规划模型,避免了求解时非光滑性所带来的问题,同时提出了一种迭代算法,用对偶内点二次规划进行分析,线性规划进行优化,算例表明这种方法十分有效。     

A novel yield function for single crystals based on combined constraints optimization

A novel yield function representing the overall plastic deformation in a single crystal is developed using the concept of optimization. Based on the principle of maximum dissipation during a plastic deformation, the problem of single crystal plasticity is first considered as a constrained optimization problem in which constraints are yield functions for slip systems. To overcome the singularity that usually arises in solving the above problem, a mathematical technique is used to replace the above constrained optimization problem with an equivalent problem which has only one constraint. This single constraint optimization problem, the so-called combined constraints crystal plasticity (CCCP) model, is implemented into a finite element code and the results of modeling the uniaxial tensions of the single crystal copper along different crystallographic directions and also hydroforming of aluminum tubes proved the capability of the proposed CCCP model in accurately predicting the deformation in polycrystalline materials.     

基于对偶变量变分原理的完整约束系统保辛算法

基于对偶变量变分原理，选择积分区间两端位移为独立变量，构造了求解完整约束哈密顿动力系统的高阶保辛算法。首先，利用拉格朗日多项式对作用量中的位移、动量及拉格朗日乘子进行近似；然后，对作用量中不包含约束的积分项采用Gauss积分近似，对作用量中包含约束的积分项采用Lobatto积分近似，从而得到近似作用量；最后，在此近似作用量的基础上，利用对偶变量变分原理，将求解完整约束哈密顿动力系统问题转化为一组非线性方程组的求解。算法具有保辛性和高阶收敛性，能够在位移的插值点处高精度地满足完整约束。算法的收敛阶数及数值性质通过数值算例验证。     

$${\mathcal{A}}$$-Stability of Global Attractors of Competition Diffusion Systems

We study the structural stability of global attractors (A{\mathcal{A}}-stability) for two-species competition diffusion systems with Morse-Smale structure. Such systems generate semiflows on positive cones of certain infinite-dimensional Banach spaces (e.g., fractional order spaces). Our main result states that a two species competition diffusion system with Morse-Smale structure is structurally A{\mathcal{A}}-stable, which implies that the set of nonlinearities for which the system possesses Morse-Smale structure is open in an appropriate space under the topology of C ²-convergence on compacta. Moreover, we provide a sufficient condition under which a system has Morse-Smale structure and provide some examples which satisfy the sufficient condition.     

Stabilization of underactuated planar acrobot based on motion-state constraints

An underactuated planar acrobot (UPA) is a two-link manipulator with a passive first joint. The control objective for a UPA in a horizontal plane is to move it from an initial position and stabilize it at a target position. Since a UPA is not small-time locally controllable, motion control is a big challenge. This paper presents a new control strategy based on constraints on the motion state. First, constraints on the angles and angular velocities of the two links are devised by integrating the dynamic equation of the UPA. Next, the state constraints are analyzed to discover the motion characteristics. Then, the optimal target position is obtained by solving a motion optimization problem that incorporates those characteristics. Finally, a control strategy based on the Lyapunov function method is devised to achieve the control objective. A numerical example demonstrates the validity of the control strategy.     

基于敏感参数修正的结构动态特性设计方法

本文提出了一种基于敏感设计参数修正的求解有限元逆特征值问题的新方法，以解决满足固有频率，固有振型及质量，质心等预定要求的结构动态特性再设计问题。针对通常设计结果对给定的固有振型的误差相当敏感，本文利用列主元ＱＲ分解将设计参数分为敏感设计参数和非敏感设计参数；通过敏感设计参数的修正求解满足预定要求的设计结果。算例及实际设计表明本文方法具有高效、可靠的特性。     

Trajectory planning in parallel kinematic manipulators using a constrained multi-objective evolutionary algorithm

Generating manipulator trajectories considering multiple objectives with kinematics and dynamics constraints is a non-trivial optimization. In this paper, a constrained multi-objective genetic algorithm (MOGA) based technique is proposed to address this problem for a general motor-driven parallel kinematic manipulator. The planning process is composed of searching for a motion ensuring the accomplishment of the assigned task, minimizing the traverse time, and expended energy subject to various constraints imposed by the associated kinematics and dynamics of the manipulator. This problem is treated via an adequate parametric path representation in the task space of the moving platform, and then the use of the constrained MOGA for solving the resulted nonlinear multi-objective optimization problem. Simulation results are presented for the trajectories of the parallel kinematic manipulator, and a subsequent comparison with the weighted sum method is also carried out.     

Stochastic minimax semi-active control for MDOF nonlinear uncertain systems under combined harmonic and wide-band noise excitations using MR dampers

A stochastic minimax semi-active control strategy for multi-degrees-of-freedom (MDOF) strongly nonlinear systems under combined harmonic and wide-band noise excitations is proposed. First, a stochastic averaging procedure is introduced for controlled uncertain strongly nonlinear systems using generalized harmonic functions and the control forces produced by Magneto-rheological (MR) dampers are split into the passive part and the active part. Then, a worst-case optimal control strategy is derived by solving a stochastic differential game problem. The worst-case disturbances and the optimal semi-active controls are obtained by solving the Hamilton–Jacobi–Isaacs (HJI) equations with the constraints of disturbance bounds and MR damper dynamics. Finally, the responses of optimally controlled MDOF nonlinear systems are predicted by solving the Fokker–Planck–Kolmogorov (FPK) equation associated with the fully averaged Itô equations. Two examples are worked out in detail to illustrate the proposed control strategy. The effectiveness of the proposed control strategy is verified by using the results from Monte Carlo simulation.     

Numerical method for dynamics of multi-body systems with two-dimensional Coulomb dry friction and nonholonomic constraints

Based on the dynamical theory of multi-body systems with nonholonomic constraints and an algorithm for complementarity problems, a numerical method for the multi-body systems with two-dimensional Coulomb dry friction and nonholonomic constraints is presented. In particular, a wheeled multi-body system is considered. Here,the state transition of stick-slip between wheel and ground is transformed into a nonlinear complementarity problem(NCP). An iterative algorithm for solving the NCP is then presented using an event-driven method. Dynamical equations of the multi-body system with holonomic and nonholonomic constraints are given using Routh equations and a constraint stabilization method. Finally, an example is used to test the proposed numerical method. The results show some dynamical behaviors of the wheeled multi-body system and its constraint stabilization effects.     

结构拓扑优化ICM方法的改善

对结构拓扑优化的ICM(独立、连续、映射)方法进行了深入探讨,通 过选取不同的过滤函数可以不进行每步删除而得到清晰的拓扑图形. 以位移约束为例阐述了 ICM方法建模及求解过程. 对位移约束、频率约束、位移及频率约束、简谐载荷激励下动位 移幅值约束等拓扑优化进行了研究,计算算例表明ICM方法在处理静力问题及动力问题的拓 扑优化都是可行的. 程序算法都在MSC.Nastran及MSC.Patran的二次开发环境下实现,与 原软件有机结合在一起.     

Variational approach to the study of processes of geophysical hydro-thermodynamics with assimilation of observation data

This paper presents a variational approach to solving direct and inverse problems based on the joint use of mathematical models and data monitoring of processes of geophysical hydro-thermodynamics. This approach is used to solve problems related to environmental protection. A variational principle with weak constraints is formulated to account for uncertainties and errors in models and data. The inclusion of uncertainties makes it possible to develop direct non-iterative algorithms for sequential assimilation of data obtained by various observation systems. Some criteria and functions for controlling the quality of the natural environment are introduced into the modeling system to solve inverse problems of environmental risk assessment. A problem with data assimilation is considered for the Novosibirsk agglomeration.     

基于相场描述的拉压不对称强度结构拓扑优化

运用了基于相场描述的拓扑优化方法，来寻找在拉伸和压缩中表现出不对称强度行为的连续体结构的最优布局。依据Drucker-Prager屈服准则和幂率插值方案，优化问题可以描述为在局部应力约束下的最小化结构的体积。用qp放松法来解决应力约束的奇异性，并采用基于P-norm函数的聚合方法对应力约束进行凝聚，该方法实现了约束个数的降低，同时引入了稳定转化法来处理大量的局部应力约束和高度非线性的应力行为，以修正应力，提高优化收敛的稳定性。在优化问题求解时，使用拉格朗日乘子法对目标函数和应力约束进行处理。利用伴随变量法进行灵敏度分析，并通过求解Allen-Cahn方程更新相场函数设计变量。数值算例证明了该优化模型和相应数值技术的有效性，相关算例还揭示了考虑拉压不同强度和考虑同拉压强度约束时得到的结构优化拓扑构型具有显著的差异。     

Constrained predictive synchronization of discrete-time chaotic Lur’e systems with time-varying delayed feedback control

This paper presents a predictive synchronization method for discrete-time chaotic Lur’e systems with input constraints by using time-varying delayed feedback control. Based on the model predictive control scheme, a delay-dependent stabilization criterion is derived for the synchronization of chaotic systems that is represented by Lur’e systems with input constraints. By constructing a suitable Lyapunov–Krasovskii functional and combining with a reciprocally convex combination technique, a delay-dependent stabilization condition for synchronization is obtained via linear matrix inequality (LMI) formulation. The control inputs are obtained by solving a min-max problem subject to cost monotonicity, which is expressed in terms of LMIs. The effectiveness of the proposed method will be verified throughout a numerical example.     

Finite-time synchronization control for uncertain Markov jump neural networks with input constraints

This paper is concerned with the problem of finite-time synchronization control for uncertain Markov jump neural networks in the presence of constraints on the control input amplitude. The parameter uncertainties under consideration are assumed to belong to a fixed convex polytope. By using a parameter-dependent Lyapunov functional and a simple matrix decoupling method, a sufficient condition is proposed to ensure that the considered networks are stochastically synchronized over a finite-time interval. The desired mode-independent controller parameters can be computed via solving a convex optimization problem. Finally, two chaos neural networks are employed to demonstrate the effectiveness of our proposed approach.     

Topology optimization of truss structures with systematic reliability constraints under multiple loading cases

In this paper, a mathematical model for topology optimization of truss structures with constraints of displacement and system reliability under multiple loading cases is constructed. In order to avoid the difficulty of computing the structure's system reliability, a solving approach is presented in which the failure probability of system is divided into the sum of all bars' failure probability by means of reliability distribution. In addition, by drawing into the reliability safety factor and the fundamental relationship in structural mechanics, all probability constraints of displacement and stress are equivalently displayed as conventional form and linear function of the design variables. The optimization problem with multiple constraints is treated by the compact constraint tactics and is solved by the improved simplex method. The examples show that the approach proposed in this paper is feasible and efficient. The project supported by the National Natural Science Foundation of China.