New Approach to Observer-Based Finite-Time H_(∞)Control of Discrete-Time One-Sided Lipschitz Systems with Uncertainties

This paper investigates the finite-time H_(∞)control problem for a class of nonlinear discrete-time one-sided Lipschitz systems with uncertainties.Using the one-sided Lipschitz and quadratically inner-bounded conditions,the authors derive less conservative criterion for the controller design and observer design.A new criterion is proposed to ensure the closed-loop system is finite-time bounded(FTB).The sufficient conditions are established to ensure the closed-loop system is H_(∞)finite-time bounded(H_(∞)FTB)in terms of matrix inequalities.The controller gains and observer gains are given.A numerical example is provided to demonstrate the effectiveness of the proposed results.

THE CONVERGENCE OF TRUNCATED EULER-MARUYAMA METHOD FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH PIECEWISE CONTINUOUS ARGUMENTS UNDER GENERALIZED ONE-SIDED LIPSCHITZ CONDITION

In this paper,we consider the stochastic differential equations with piecewise continuous arguments(SDEPCAs)in which the drift coefficient satisfies the generalized one-sided Lipschitz condition and the diffusion coefficient satisfies the linear growth condition.Since the delay term t-[t]of SDEPCAs is not continuous and differentiable,the variable substitution method is not suitable.To overcome this dificulty,we adopt new techniques to prove the boundedness of the exact solution and the numerical solution.It is proved that the truncated Euler-Maruyama method is strongly convergent to SDEPCAs in the sense of L'(q≥2).We obtain the convergence order with some additional conditions.An example is presented to illustrate the analytical theory.

Global Practical Exponential Stabilization for One-Sided Lipschitz Systems with Time Delay

This paper addresses the practical stabilization problem for a class of one-sided Lipschitz nonlinear time delay systems with external disturbances.In case there is no perturbation,the exponential convergence of the observer was confirmed.When external disturbances appear in the system,a separation principle is established,and the authors show that the closed loop system is exponentially practical stable.By choosing a suitable Lyapunov-Krasovskii functional,the authors derive new sufficient conditions to guarantee the exponential stability of the systems.Finally,a physical model is performed to prove the efficiency and applicability of the suggested approach.

Further Result on the Observer Design for One-Sided Lipschitz Systems

This paper investigates the problem of observer design for a class of control systems.Different from current works,the nonlinear functions in the system only satisfy the property of the one-sided Lipschitz(OSL)condition but not quadratic inner-boundedness(QIB).Moreover,the case where the OSL constant is negative is specially investigated.Firstly,a full-order observer is constructed for the original system.Then,a reduced-order observer is also designed by using the decomposition method.The advantage and effectiveness of the proposed design scheme are shown in a numerical simulation.

Reference tracking and transient response shaping of uncertain quasi one-sided Lipschitz nonlinear systems

This work addresses the reference tracking problem for uncertain systems with quasi one-sided Lipschitz nonlinearity.The uncertainty is assumed to be of a norm bound parametric type.Moreover,transient response shaping using the concept of‘return time’is also proposed.The controller design relies on the solution of Linear Matrix Inequalities(LMIs)and hence is compu-tationally efficient.The proposed control law is linear in states,and thus the implementation is often straightforward.To illustrate the capability and simplicity of the proposed theory,three design examples are included.

Lipschitz条件下高阶可微函数的Ostrowski型不等式

针对满足Lipschitz条件的高阶可微函数,通过建立积分恒等式,利用引入参数求最值的方法,建立了一类高阶可微函数的Ostrowski型不等式,加强了已有的Ostrowski型不等式。

分数次极大算子与Lipschitz函数生成的交换子的紧性

得到分数次极大算子与Lipschitz函数生成的交换子是Lp空间以及Morrey空间上的紧算子,且注意分数次积分算子的处理方法不适用于分数次极大算子.

Lipschitz非线性离散系统基于观测器的鲁棒镇定控制设计

本文研究Lipschitz非线性离散时间系统的基于观测器的鲁棒镇定控制问题.首先,针对Lipschitz非线性离散系统,应用微分中值定理和线性参变系统理论,以线性矩阵不等式(LMI)的形式给出基于观测器的鲁棒镇定控制设计的充分条件.随后,将设计结果进一步推广,针对含干扰的Lipschitz非线性离散系统进行H∞性能分析,实现了基于观测器的鲁棒H∞镇定控制,同时给出观测器增益矩阵和控制器增益矩阵的一步求解算法.最后,通过两个数值例子验证了所提方法的有效性.

一类二阶迭代函数方程有界光滑解的Lipschitz依赖性

为了研究一类二阶迭代函数方程的C1有界光滑解在C1上确界距离下对已知函数的Lipschitz依赖性,对已知函数的导数施加了Lipschitz条件,并引入新的度量,此度量代表原函数与导函数之间的关系。根据给出Lipschitz依赖性推导过程的相关引理,对其进行了证明,并运用引理计算迭代函数方程光滑解之间的距离,从而得出对已知函数的Lipschitz依赖性。

Variation Inequalities for the Commutators of One-Sided Calderón-Zygmund Singular Integrals with Lipschitz Functions

In this paper, we establish the weighted Lp (1 < p < ∞) boundedness of variation operator for the commutators generated by one-sided Calderón-Zygmund singular integrals with Lipschitz functions.

参数向量Ky Fan不等式与对偶问题解映射Lipschitz连续性最优条件

在赋范线性空间中研究参数向量Ky Fan不等式与对偶问题解映射的Lipschitz连续性。提出了参数向量Ky Fan不等式与对偶问题及其有效解的概念,引入了向量函数伪单调性和强拟凸(凹)性,借助分析方法获得了参数向量Ky Fan不等式与对偶问题解映射的Lipschitz连续性最优条件,并举例加以说明。

光滑神经网络解决一类线性约束的非Lipschitz优化问题

带有线性不等式约束的非光滑非优化问题被广泛应用于稀疏优化,具有重要的研究价值.为了解决这类问题,提出了一种基于光滑化和微分包含理论的神经网络模型.通过理论分析,证明了所提神经网络的状态解全局存在,轨迹能够在有限时间进入可行域并永驻其中,且任何聚点都是目标优化问题的广义稳定点.最后给出数值实验和图像复原实验验证神经网络在理论和应用中的有效性.与现有神经网络相比,它具有以下优势:初始点可以任意选取;避免计算精确罚因子;无需求解复杂的投影算子.

非Lipschitz条件下高维McKean-Vlasov随机微分方程解的存在唯一性

研究了一类漂移系数不连续的高维McKean-Vlasov随机微分方程及相应的粒子系统解的存在唯一性.在漂移系数关于空间变量逐段Lipschitz连续的条件下,首先利用Zvonkin变换将方程转换为漂移系数为Lipschitz连续的McKean-Vlasov随机微分方程,变换后的方程存在唯一解.然后由变换函数的性质可得逆函数的存在性和Lipschitz连续性.最后由Ito公式及逆函数的性质可得原来的McKean-Vlasov随机微分方程及相应的粒子系统解的存在唯一性.

One-sided empirical Bayes test for location parameter in Gamma distribution

In this paper, we devote to constructing the one-sided empirical Bayes(EB) test for the location parameter in the Gamma distribution by nonparametric method. Under some mild conditions, we prove that the EB test is asymptotically optimal with the rate of the order O(n^(-δs/(2s+1))), where 1/2 ≤ δ < 1 and s > 1 is a given natural number. An example is also given to illustrate that the conditions of the main theorems are easily satisfied.

基于Lipschitz常数约束的胶囊网络鲁棒性增强

为了提升胶囊神经网络的对抗鲁棒性,本文提出了基于Lipschitz常数约束的正则化方法,利用对抗训练方法来得到更加鲁棒的胶囊网络,将改进后的模型命名为Lips-CapsNet。相比较其它模型而言,Lips-CapsNet计算简便,不需要对胶囊网络的结构做出任何改变。实验结果显示,模型在MNIST、SVHN等数据集上实现了鲁棒性的提升,尤其是在Fashion-MNIST数据集上,在较强的攻击算法下,对抗样本的预测精度提升可达8%。

系数满足单边Lipschitz条件的随机微分方程随机周期解的存在唯一性及数值逼近(英文)

本文研究了一类系数满足单边Lipschitz条件的随机微分方程随机周期解的存在唯一性,利用驯化Euler-Maruyama(EM)方法给出了随机周期解的数值逼近,并证明了数值逼近在均方意义下以α∈(0,1/2)阶收敛到精确解.数值算例验证了理论结果.

单边Lipschitz非线性时滞系统的迭代学习控制

考虑了一类时滞单边Lipschitz非线性系统的迭代学习控制问题。针对该类非线性系统,基于P型学习算法构建了迭代学习控制器。利用单边Lipschitz条件,从理论上证明了在该算法的作用下,系统的输出在整个时间间隔内可实现对期望轨迹的完全跟踪。最后,通过数值仿真验证了算法的有效性。该研究在一定程度上拓展了迭代学习的应用范围,对迭代学习控制理论的进一步推广和完善具有重要意义。

The Best m-Term One-Sided Approximation of Besov Classes by the Trigonometric Polynomials

In this paper, we continue studying the so called best m-term one-sided approximation and Greedy-liked one-sided ap- proximation by the trigonometric polynomials. The asymptotic estimations of the best m-terms one-sided approximation by the trigonometric polynomials on some classes of Besov spaces in the metricLp(Td(1≤p≤∞ are given.

基于小增益和Lipschitz条件的闭环EIV系统稳定性分析

研究了带有输入扰动和输出扰动的闭环变量带误差系统的稳定性分析。针对一个闭环变量带误差系统,无论是线性还是非线性,可以将其模型看成反馈互联系统,闭环变量带误差系统的扰动项视为反馈互联系统的输入,然后利用小增益定理判断反馈互联系统的有限增益L稳定,从而判断闭环变量带误差系统的稳定性。同时,也给出了使用Lipschitz条件的方法推导并判断系统的稳定性。最后,使用数值仿真验证理论结果。

LIPSCHITZ STAR BODIES

In this paper,we study some basic properties on Lipschitz star bodies,such as the equivalence between Lipschitz star bodies and star bodies with respect to a ball,the equivalence between the convergence of Lipschitz star bodies with respect to Hausdorff distance and the convergence of Lipschtz star bodies with respect to radial distance,and the convergence of Steiner symmetrizations of Lipschitz star bodies.