具有通信时延的二阶多自主体系统的采样控制

主要针对固定拓扑网络下具有通信时延的多自主体离散系统,研究了二阶离散系统的一致采样控制.应用Z变换,分析了离散时间系统的动态运动方程.根据广义Nyquist判据,得到了二阶时延离散系统渐近收敛到一致的采样周期的上界.最后通过实例仿真,进一步验证了理论结果的正确性.     

非自治离散周期系统的周期解

在医学、生物学、经济学以及人口学等许多学科中,由于统计得到的各方面数据是以均匀间隔时间周期记录的.因此,所建立的许多数学模型是用差分方程来描述的.差分方程(也称离散系统)的研究愈来愈受到人们的重视.文献[2—4]对离散系统的稳定性理论做了详细的研究.而实际问题当中出现的离散系统往往受到环境、季节等周期性的影响.所以,对离散周期系统的周期解研究是非常必要的.本文分别给出了线性时变离散周期系统(2)存在唯一k-周期解的充分条件,以及非线性离散系统(1)和(8)存在唯一稳定的 k-周期解的若干充分条件.     

仿真决策方案的统计优选

§1.引言随着计算机技术和系统模拟技术的发展,离散系统仿真技术已经渗透到工程技术、企业管理和社会经济等许多领域,并获得了明显的经济效果.在离散系统仿真过程中,尤其是对制造系统进行仿真时一般都不可避免地遇到系统的决策问题。如何选择最佳的系统决策方案呢?通常都采用穷举法对这些决策的各种算法组合——进行试验,最终获得最优解,然而这种方     

非线性时变离散系统的渐近稳定性

本文利用文[1]中的Gauss-Seidel迭代方法来研究非线性时变离散系统的渐近稳定性,得到了渐近稳定性的若干代数判据,为离散系统稳定性的研究提供了一种新的方法。     

一类离散系统边值问题多个解的存在性

应用临界点理论,获得了一类离散系统边值问题存在多个解的条件.     

离散大系统在结构扰动下周期解的存在性

对于离散系统稳定性的研究,近年来受到人们的重视,但对于周期解的研究,在文献中还很少看到。本文首先讨论了离散系统解的有界性,并且得到了若一个具有周期系数的差分方程的解为最终有界的,则存在周期解的结果。然后利用李雅普诺夫函数方法研究了离散大系统在结构扰动之下周期解的存在性和离散大系统的平稳振荡。     

时变离散大系统的稳定性

本文首先给出了线性时变离散系统稳定性的一个充分条件.然后研究当孤立子系统满足上述条件时的线性及非线性时变离散大系统的稳定性.利用向量李雅普诺夫函数法结合时变离散系统的比较原理,得到了时变离散大系统在稳定性中的集结模型.直接由集结系统的稳定性得到大系统稳定性的条件.     

离散系统Lyapunov第二方法的一些问题

本文讨论线性时不变离散系统Lyapunov方程解集的几何性质以及分段线性离散系统的稳定性,得出每个子系统都是稳定的分段线性离散系统渐近稳定的一些充分条件,并把这些结果应用于二阶分段线性系统.     

一个随机服务系统的计算机模拟

系统模拟做为一种定量分析的手段,在管理中发挥着重要的作用,对离散系统模拟方法进行了讨论,建立了一个随机服务系统的模型,并通过Excel对其进行模拟,最后对该系统的性能进行了分析.     

一类非线性离散系统的同宿解的存在性

应用临界点理论讨论一类二阶非线性离散系统在一定条件下非零同宿解的存在性,得到一个非零同宿解存在性的条件.     

Aggregation and stability analysis of nonlinear complex systems

The problem of stability of large-scale systems in critical cases is investigated. New form of aggregation for essentially nonlinear complex systems is suggested. With the help of this form the sufficient conditions of asymptotic stability are determined. The results obtained are used for the stability analysis of complex systems by the nonlinear approximation and for the investigation of absolute stability conditions for a certain class of nonlinear systems.     

一类随机系统的有限时间镇定

讨论随机系统的有限时间镇定问题.首先提出了随机系统有限时间稳定的概念;其次证明了随机系统有限时间稳定的Lyapunov定理;然后,讨论了一类随机系统的镇定问题.     

STABILITY OF LINEAR MEASURE LARGE SCALE SYSTEMS WITH IMPULSIVE EFFECT

ＳＴＡＢＩＬＩＴＹＯＦＬＩＮＥＡＲＭＥＡＳＵＲＥＬＡＲＧＥＳＣＡＬＥＳＹＳＴＥＭＳＷＩＴＨＩＭＰＵＬＳＩＶＥＥＦＦＥＣＴＧｕａｎＺｈｉｈｏｎｇ（关治洪）（ＪｉａｎｇｈａｎＰｅｔｒｏｌｅｕｍＩｎｓｔｉｔｕｔｅ，江汉石油学院，邮编：４３４１０２）ＷｅｎＸ...     

Incremental stability analysis of stochastic hybrid systems

In this paper, we study the incremental stability of stochastic hybrid systems, based on the contraction theory, and derive sufficient conditions of global stability for such systems. As a special case, the conditions to ensure the second moment exponential stability which is also called exponential stability in the mean square of stochastic hybrid systems are obtained. The theoretical results in this paper extend previous works from deterministic or stochastic systems to general stochastic hybrid systems, which can be applied to qualitative and quantitative analysis of many physical and biological phenomena. An illustrative example is given to show the effectiveness of our results.     

Stability analysis for networked control systems with sampling,transmission protocols and input delays

In this paper, the stability problem is investigated for networked control systems. Input delays and multiple communication imperfections containing time-varying transmission intervals and transmission protocols are considered. A unified framework based on the hybrid systems with memory is proposed to model the whole networked control system. Hybrid systems with memory are used to model hybrid systems affected by delays and permit multiple jumps at a jumping instant. The stability analysis depends on the Lyapunov–Krasovskii functional approaches for hybrid systems with memory and the proposed stability theorem does not need strict decrease of the Lyapunov–Krasovskii functional during jumps. Based on the developed stability theorems, stability conditions for networked control systems are established. An explicit formula is given to compute the maximal allowable transmission interval. In the special case that the networked control system contains linear dynamics, an explicit Lyapunov functional is constructed and stability conditions in terms of linear matrix inequalities (LMI) are proposed. Finally, an example of a chemical batch reactor is given to illustrate the effectiveness of the proposed results.     

一类不确定时滞系统的鲁棒稳定性

给出了不确定时滞系统鲁棒稳定的若干结果,同时讨论了这类系统的稳定度,改进了前人关于时滞系统稳定性和鲁棒稳定性的一些结论,并给出了应用的例子。     

Stability analysis and stabilization of LPV systems with jumps and (piecewise) differentiable parameters using continuous and sampled-data controllers

Linear Parameter-Varying (LPV) systems with jumps and piecewise differentiable parameters is a class of hybrid LPV systems for which no tailored stability analysis and stabilization conditions have been obtained so far.¹ We fill this gap here by proposing an approach based on a clock- and parameter-dependent Lyapunov function yielding stability conditions under both constant and minimum dwell-times. Interesting adaptations of the latter result consist of a minimum dwell-time stability condition for uncertain LPV systems and LPV switched impulsive systems. The minimum dwell-time stability condition is notably shown to naturally generalize and unify the well-known quadratic and robust stability criteria all together. Those conditions are then adapted to address the stabilization problem via timer-dependent and a timer- and/or parameter-independent (i.e. robust) state-feedback controllers, the latter being obtained from a relaxed minimum dwell-time stability condition involving slack-variables. Finally, the last part addresses the stability of LPV systems with jumps under a range dwell-time condition which is then used to provide stabilization conditions for LPV systems using a sampled-data state-feedback gain-scheduled controller. The obtained stability and stabilization conditions are all formulated as infinite-dimensional semidefinite programming problems which are then solved using sum of squares programming. Examples are given for illustration.     

Unifying theory for stability of continuous,discontinuous, and discrete-time dynamical systems

Continuous-time dynamical systems whose motions are continuous with respect to time (called continuous dynamical systems), may be viewed as special cases of continuous-time dynamical systems whose motions are not necessarily continuous with respect to time (called discontinuous dynamical systems, or DDS). We show that the classical Lyapunov stability results for continuous dynamical systems are embedded in the authors’ stability results for DDS (given in [H. Ye, A.N. Michel, L. Hou, Stability theory for hybrid dynamical systems, IEEE Transactions on Automatic Control 43 (4) (1998) 461–474]), in the following sense: if the hypotheses for a given Lyapunov stability result for continuous dynamical systems are satisfied, then the hypotheses of the corresponding stability result for DDS are also satisfied. This shows that the stability results for DDS in [H. Ye, A.N. Michel, L. Hou, Stability theory for hybrid dynamical systems, IEEE Transactions on Automatic Control 43 (4) (1998) 461–474] are much more general than was previously known, and that the quality of the DDS results therein is consistent with that of the classical Lyapunov stability results for continuous dynamical systems.By embedding discrete-time dynamical systems into a class of DDS with equivalent stability properties, we also show that when the hypotheses of the classical Lyapunov stability results for discrete-time dynamical systems are satisfied, then the hypotheses of the corresponding DDS stability results are also satisfied. This shows that the results for DDS in [H. Ye, A.N. Michel, L. Hou Stability theory for hybrid dynamical systems, IEEE Transactions on Automatic Control 43 (4) (1998) 461–474] are much more general than previously known, having connections even with discrete-time dynamical systems!Finally, we demonstrate by the means of a specific example that the stability results for DDS are less conservative than corresponding classical Lyapunov stability results for continuous dynamical systems.