一类离散时间非线性系统降维观测器设计

本文研究了一类离散时间非线性系统降维观测器设计问题.利用微分中值定理和Schur补,得到了这类非线性系统降维观测器的设计判据.所给判据为线性矩阵不等式形式.与现在已有文献中的判据相比,本文得到的判据不仅可用于离散时间可微Lipschitz非线性系统而且可用于某些离散时间的非Lipschitz非线性系统.文末,给出了几个仿真算例以验证所得结论的正确性.     

择一定理在离散时间线性时不变系统中的应用

基于广义择一定理,可以讨论离散时间线性时不变系统中的若干问题.首先可以利用广义择一定理得出Layaponov不等式的可行性与系统矩阵特征值的若干关系.其次利用这种广义择一定理讨论Ricaati不等式解的存在性,由此给出更-般KYP引理的简洁证明.     

Banach空间中线性离散时间系统的一致多项式膨胀性

给出了Banach 空间中线性离散时间系统一致多项式膨胀性的概念,并讨论了其离散特征。借助Lyapunov函数给出了线性离散时间系统满足一致多项式膨胀的充要条件。所得结论将一致指数稳定性、指数膨胀性及多项式稳定性中的若干经典结论推广到了一致多项式膨胀性的情形。     

不确定离散脉冲系统的鲁棒H∞滤波问题

研究一类离散脉冲不确定系统的鲁棒H∞滤波器设计问题.首先,介绍了脉冲线性滤波器与离散脉冲系统的鲁棒H∞滤波问题.其次,基于离散Liapunov函数方法,给出了用线性矩阵不等式表达的滤波误差系统渐近稳定的充分条件与H∞脉冲线性滤波器的设计方法.最后,给出数值例子说明结果的有效性.     

离散时间不确定脉冲系统的有限时间稳定性与滤波

本文研究离散时间不确定脉冲系统的有限时间稳定性和滤波问题.利用线性矩阵不等式和松弛变量方法,不仅给出了滤波误差系统有限时间稳定和满足性能要求的充分条件,另外也给出了滤波器存在的充分条件和设计方法.最后通过数值模拟表明了结论的可行性和有效性.     

多元污染正态分布的线性判别误分率研究

本文研究了以下多元污染正态模型的线性判别,给出了两类条件误分率的渐近分布,以及无条件误分率: Π_i:(1-α)N(μ_i,∑) αN(μ_i,k~2∑),i=1,2 其中,α为污染率(0≤α≤1),∑,k~2为尺度参数,而位置参数μ1,μ2可假定为未知,渐近分布及误分率的具体形式由定理1、定理2给出。     

线性离散大系统的稳定性

本文直接运用线性范数型Liapunov函数处理线性定常和时变离散大系统的稳定性,得到了渐近稳定若干判别准则.     

一类相依索赔离散风险模型的有限时间破产概率估计

本文研究一类具有相依索赔及重尾索赔噪声项的离散风险模型有限时间破产概率.在该模型中,索赔额服从具有独立同分布噪声项的单边线性过程;由保险公司的风险投资和无风险投资导致的随机折现因子与单边线性过程的噪声项相独立;保险公司的保费率是恒定的常数.当单边线性过程的噪声项服从重尾分布时,本文得到该离散风险模型有限时间破产概率的渐近估计.     

具有时变时滞的不确定离散广义系统的稳定与镇定

本文主要研究具有时变时滞的不确定离散广义系统的稳定性与镇定.利用线性矩阵不等式方法,给出了具有时变时滞的离散广义系统稳定的充分条件,推广了历算广义系统稳定与镇定的相关结果.     

一类离散的时滞脉冲切换系统的H_∞二次稳定性

研究了一类离散的时滞脉冲切换系统的H_∞控制问题,利用Lyapunov稳定性理论和线性矩阵不等式方法,给出了离散脉冲切换系统具有性能指标γ的充分条件.     

非线性离散动力系统的某些定性性质

证明了一致指数稳定的非线性离散动力系统Lyapunov函数的存在性．由此证明非线性离散动力系统一致指数稳定等价于其线性化系统的一致指数稳定．     

带有HollingⅠ类功能反应离散半比率依赖捕食-食饵系统的持久性

研究了一个带有HollingⅠ类功能反应和时间延迟的离散半比率依赖捕食-食饵系统,给出了系统保持持久性的充分条件.     

Periodic Solutions of a Discrete Time Predator-Prey System

In this paper, we discuss a discrete predator-prey system with a non-monotonic functional response, which models the dynamics of the prey and the predator having non-overlapping generations. By using the coincidence degree theory, sufficient conditions are obtained for the existence of positive periodic solutions.     

STEADY STATE SOLUTIONS OF A TOROIDAL NEURAL NETWORK VIA A MOUNTAIN PASS THEOREM

A discrete temporal-spatio artificial neural network is defined and is shown to have steady state solutions by a mountain pass theorem in critical point theory.     

EXISTENCE OF POSITIVE PERIODIC SOLUTIONS TO A DISCRETE TIME NON-AUTONOMOUS COMPETING SYSTEM WITH FEEDBACK CONTROLS

In this paper,a class of discrete time non-autonomous competing system with feedback controls is considered. With the help of differential equations with piecewise constant arguments,we first propose a discrete model of a continuous non-autonomous competing system with feedback controls. Then,using the coincidence degree and the related continuation theorem as well as some priori estimations,a suficient condition for the existence of positive solutions to difference equations is obtained.     

A perturbation theory for the discrete harmonic oscillator equation

This work deals with the existence, uniqueness and stability of solutions for the semilinear discrete harmonic oscillator equation on Banach spaces by using recent characterization of maximal regularity for a best difference approximation of the discrete harmonic oscillator equation.     

具有离散和分布时滞的Lotka-Volterra竞争系统

In this paper.the Lotka-Volterra competition system with discrete and distributed time delays is considered.By analyzing the characteristic equation of the linearized system,the local asymptotic stability of the positive equilibrium is investigated.Moreover,we discover the delays don't effect the stability of the equilibrium in the delay system.Finally,we can conclude that the positive equilibrium is global asymptotically stable in the delay system.     

Adaptive impulsive synchronization of uncertain delayed chaotic system with full unknown parameters via discrete‐time drive signals

This article investigates the adaptive impulsive synchronization of delayed chaotic system with full unknown parameters. Aiming at this problem, we propose a new adaptive strategy, in which both the adaptive–impulsive controller and the parameters adaptive laws are designed via the discrete‐time signals from the drive system. The corresponding theoretical proof is given to guarantee the effectiveness of the proposed strategy. Moreover, the concrete adaptive strategies are achieved for delayed Hopfield neural network, optical Ikeda system and the well‐known delayed Lü chaotic system. As expected, numerical simulations show the effectiveness of the proposed strategy. This method has potential applications in parameters estimation, secure communication, and cryptanalysis when only discrete signals are transmitted in communication channel. © 2014 Wiley Periodicals, Inc. Complexity 21: 43–51, 2016     

A projected gradient dynamical system modelling the dynamics of bargaining

We propose a projected gradient dynamical system as a model for a bargaining scheme for an asset for which the two interested agents have personal valuations that do not initially coincide. The personal valuations are formed using subjective beliefs concerning the future states of the world, and the reservation prices are calculated using expected utility theory. The agents are not rigid concerning their subjective probabilities and are willing to update them under the pressure to reach finally an agreement concerning the asset. The proposed projected dynamical system, on the space of probability measures, provides a model for the evolution of the agents, beliefs during the bargaining period and is constructed so that an agreement is reached under the minimum possible deviation of both agents from their initial beliefs. The convergence results are shown using techniques from convex dynamics and Lyapunov function theory.     

离散PH分布的一个封闭性质及其应用

本证明了离散PH分布的一个封闭性质并讨论了它在离散时间排队研究中的应用。