A novel robust proportional-integral （PI） adaptive observer design for chaos synchronization

In this paper, chaos synchronization in the presence of parameter uncertainty, observer gain perturbation and exogenous input disturbance is considered. A nonlinear non-fragile proportional-integral (PI) adaptive observer is designed for the synchronization of chaotic systems; its stability conditions based on the Lyapunov technique are derived. The observer proportional and integral gains, by converting the conditions into linear matrix inequality (LMI), are optimally selected from solutions that satisfy the observer stability conditions such that the effect of disturbance on the synchronization error becomes minimized. To show the effectiveness of the proposed method, simulation results for the synchronization of a Lorenz chaotic system with unknown parameters in the presence of an exogenous input disturbance and abrupt gain perturbation are reported.     

Impulsive control of chaotic systems with exogenous perturbations

The impulsive control of chaotic systems, which are subjected to unbounded exogenous perturbations, is considered. By using the theory of impulsive differential equation together with the fuzzy control technique, the authors propose an impulsive robust chaos controlling criterion expressed as linear matrix inequalities (LMIs). Based on the proposed control criterion, the procedure for designing impulsive controllers of common (perturbed) chaotic systems is provided. Finally, a numerical example is given to demonstrate the obtained theoretical result.     

自由空间量子通讯实验中纠缠源的研制

设计了适合自由空间量子通讯实验的纠缠源. 纠缠光子对的单模光纤搜集率约为每秒20000对,水平竖直方向的纠缠对比度大于95%,正负45°方向的纠缠对比度大于90%. 在本地得到了大于100个标准偏差的Bell 不等式破缺. 满足20 km量级的自由空间量子通讯试验要求. 关键词： 纠缠光子对 位相匹配 收集效率 贝尔不等式     

神经网络量子态及其应用

神经网络量子态是由人工神经网络所表示的量子态。得益于机器学习,尤其是深度学习近年来取得的突破性进展,神经网络量子态的研究得到了广泛的关注,成为当前的热点前沿方向。文章将介绍不同的神经网络量子态,其物理性质与典型应用场景,最新进展,以及面临的挑战。     

关于一类新型的广义对拟变分不等式

本文在局部凸Ｈａｕｓｄｏｒｆｆ拓扑线性空间中引入了一类新型的广义双拟变分不等式，并研究了其解的存在性。本文的结果统一、改进和发展了有关变分不等式问题的许多最新结果。     

H基于模糊观测器参数摄动的耦合时空混沌H跟踪控制

由于子系统的时空耦合作用及参数的摄动性，实现参数摄动的耦合时空混沌的跟踪控制非常困难。然而模型未知的耦合时空混沌的每个子系统可由一系列模糊逻辑模型逼近，每个模糊逻辑模型代表子系统在特定运行点的局部线性化模型，同时考虑子系统状态的不可测性，采用模糊观测器来估计子系统的状态。基于模糊模型及状态观测器，计及混沌参数的摄动性，提出一种模糊跟踪控制方案，实现了参数摄动的耦合时空混沌的鲁棒跟踪控制，并将模糊跟踪控制表征为线性矩阵不等式问题，用线性矩阵不等式的凸优化方法求解控制器参数，确保系统的全局渐近稳定性。仿真验证了方案的有效性。     

Tracking problem under a time-varying topology

This paper studies the multi-agent tracking problem of a third-order maneuvering target under uncertain communication environments. Each tracking agent is assumed to be a third-order system and can only use its own and neighbors＇ position, velocity, and acceleration information to design its control input. In this work, the uncertain communication environments are modelled by a finite number of constant Laplacian matrices together with their corresponding scheduling functions. Sufficient conditions for the existence of a tracking strategy have been expressed in terms of the solvability of linear matrix inequalities. Finally, a numerical example is employed to demonstrate the effectiveness of the proposed tracking strategy.     

基于积分观测器实现一类受扰混沌系统的同步

在系统参数和系统输出同时受扰的情形下,基于积分观测器的方法,实现了一类不确定混沌系统的同步.首先利用Lyapunov 稳定性理论,给出了混沌系统同步所需的充分条件,此条件可以快速地实现驱动系统与响应系统的同步,然后结合Schur补定理,将此条件转化为求解线性矩阵不等式组.最后,借助Matlab软件包中的LMI工具箱,通过对受扰MLC电路系统的同步数值仿真,证实了该方法的有效性.     

一个新的三维混沌系统

构造了一个新的三维连续自治混沌系统.该系统含有两个参数、一个反正切函数形式的非线性项.基于线性矩阵不等式方法研究了系统的稳定性.通过理论分析、数值仿真、Lyapunov指数谱、分岔图以及Poincaré截面图分别研究了系统的复杂动力学特性. 关键词： 混沌系统 稳定性 线性矩阵不等式 Lyapunov指数谱     

Restrictions on negative energy density for the Dirac field in flat spacetime

This paper investigates the quantum Dirac field in n+1-dimensional flat spacetime and derives a lower bound in the form of quantum inequality on the energy density averaged against spacetime sampling functions. The state-independent quantum inequality derived in the present paper is similar to the temporal quantum energy inequality and it is stronger for massive field than for massless one. It also presents the concrete results of the quantum inequality in 2 and 4-dimensional spacetimes.