网络控制系统中的时延分析

介绍了网络控制系统的概念,论述了网络控制系统中的基本问题并分析了网络控制系统中的网络诱导时延.     

网络控制系统中的时延分析

介绍了网络控制系统的概念,论述了网络控制系统中的基本问题并分析了网络控制系统中的网络诱导时延。     

时延网络控制系统的稳定性分析

为保证闭环系统的全局渐进稳定性,系统的时延必须是有界的。本文中讨论了具有网络诱导时延的网络控制系统的模型,同时给出了最大允许传输间隔以及一个实际例子。实践证明本文中给出的方法在简单的系统中是十分有效的。接着提出了一个减小网络诱导时延的算法,仿真结果表明了该方法的有效性。     

网络控制系统稳定性的图理论

针对具有有界时延和数据包丢失的网络控制系统,提出了一种新的稳定性判据.基于Lyapunov方法和图论理论,给出非线性离散和连续刚络控制系统渐近稳定的充分条件,获得保持这两类系统稳定的最大允许时延界.得到控制器设计方法.并且,利用区间矩阵的谱特征.给出网络控制系统区间稳定的充分条件.设计算法,获得比例积分反馈控制器增益.算例表明所提方法的有效性.     

一类时变对象网络控制系统建模与稳定性分析

研究了一类时变对象网络控制系统的建模和稳定性问题,推导了该类网络控制系统的时滞连续时间数学模型,并基于李雅普诺夫第二法,分析了系统的渐近稳定性,得到了系统稳定运行的最大允许时延。最后,通过实例分析证实了本文所提理论的有效性,以及稳定判据的可行性。     

基于时延的网络控制系统稳定性分析

在20世纪90年代网络控制系统问世了,它综合了计算机技术、通信技术和控制系统理论,是一个新生的控制发展理论课题,是现代工业生产发展的风向标,基于时延的网络控制系统稳定性的分析就显得至关重要。本文简单介绍了网络控制系统的定义和网络控制系统发展现状、存在的问题,研究了基于实验补偿和预测控制的网络控制系统,针对不同控制系统的时延进行了分析。     

网络控制系统中时延的稳定性分析

对时延网络控制系统的稳定性进行研究,针对系统时延中固定时延这种情形,通过对时延黄金分割以及引入改进自由权矩阵,基于李雅普诺夫稳定性理论,给出一种讨论时延网络控制系统稳定性的新方法。     

一类多输入多输出网络控制系统的稳定性分析

研究了具有分布时延、有界输入的多输入多输出网络控制系统的建模和稳定性问题.基于线性时不变对象,建立了系统的数学模型.利用李雅普诺夫第2方法和线性矩阵不等式描述,分析了系统的渐近稳定性,导出了与时延相关的系统渐近稳定判据,同时得到了系统稳定运行的最大允许时延.系统渐近稳定的最大允许时延可用MatlabLMI工具箱从稳定判据获得.仿真算例表明稳定判据是可行的.     

一类短时延网络控制系统的建模和稳定性

由于网络控制系统NCS引入网络后造成系统时延而造成系统的不稳定性。本文针对一类短时延NCS中,为保证系统的全局稳定问题,研究了该短时延系统的时延有界性。同时,证明了在输出反馈的条件下,分析了系统的闭环稳定性充分必要条件。最后,文章也通过Matlab对被控对象进行仿真实验,进而证明了文中的结论。     

一类短时延网络控制系统的容错控制器设计

针对短时延情况，本文利用容错的思想建立了SISO（Single-Input Single-Output）网络控制系统发生传感器故障时的模型。在此基础上，借助切换系统理论分析了闭环网络控制系统的稳定性。用LMI形式给出了系统渐近稳定的充分条件和控制器的设计形式，最后给出了仿真证明。     

不确定多时变时滞网络控制系统的时滞相关稳定性

讨论了具有不确定性和多时变时滞的网络控制系统(NCSs)的时滞相关稳定性. 针对一类多输入多输出(MIMO)的NCSs, 在考虑网络时滞和不确定性的情况下, 建立了该系统的数学模型. 利用Lyapunov稳定性理论和线性矩阵不等式(LMI)方法, 提出了新的基于LMI形式的时滞相关稳定条件. 该方法克服了已有方法的保守性且结果更具有一般性. 最后给出实例表明该方法与现有文献结果相比, 具有较小的保守性和更好的有效性.     

Delay-dependent robust stability of uncertain networked control systems with multiple state time-delays

In this paper, delay-dependent robust stability for a class of uncertain networked control systems （NCSs） with multiple state time-delays is investigated. Modeling of multi-input and multi-output （MIMO） NCSs with networkinduced delays and uncertainties through new methods are proposed. Some new stability criteria in terms of LMIs are derived by using Lyapunov stability theory combined with linear matrix inequalities （LMIs） techniques. We analyze the delay-dependent asymptotic stability and obtain maximum allowable delay bound （MADB） for the NCSs with the proposed methods. Compared with the reported results, the proposed results obtain a much less conservative MADB which are more general. Numerical example and simulation is used to illustrate the effectiveness of the proposed methods.     

Delay-dependent stability and stabilization criteria of networked control systems with multiple time-delays

This paper deals with the problem of delay-dependent stability and stabilization for networked control systems（NCSs）with multiple time-delays. In view of multi-input and multi-output（MIMO） NCSs with many independent sensors and actuators, a continuous time model with distributed time-delays is proposed. Utilizing the Lyapunov stability theory combined with linear matrix inequalities（LMIs） techniques, some new delay-dependent stability criteria for NCSs in terms of generalized Lyapunov matrix equation and LMIs are derived. Stabilizing controller via state feedback is formulated by solving a set of LMIs. Compared with the reported methods, the proposed methods give a less conservative delay bound and more general results. Numerical example and simulation show that the methods are less conservative and more effective.     

Delay-dependent stability and stabilization criteria of networked control systems with multiple time-delays

This paper deals with the problem of delay-dependent stability and stabilization for networked control systems(NCSs)with multiple time-delays. In view of multi-input and multi-output(MIMO) NCSs with many independent sensors and actuators, a continuous time model with distributed time-delays is proposed. Utilizing the Lyapunov stability theory combined with linear matrix inequalities(LMIs) techniques, some new delay-dependent stability criteria for NCSs in terms of generalized Lyapunov matrix equation and LMIs are derived. Stabilizing controller via state feedback is formulated by solving a set of LMIs. Compared with the reported methods, the proposed methods give a less conservative delay bound and more general results. Numerical example and simulation show that the methods are less conservative and more effective.     

Stability analysis for networked control systems based on event-time-driven mode

This article studies the problem of stability analysis for a class of networked control systems (NCS), whose control gain is assumed to be known. A switched delay system model is obtained based on the event-time-driven scheme. To solve the stability problem of the new NCS model, a new approach based on the Lyapunov functional exponential estimation method is introduced. By using this method, sufficient conditions are developed to guarantee exponential stability of the considered system. The results obtained may be less conservative than the existing ones from the perspective of maximum allowable transfer interval because the unavailable time is considered in this article. An example is given to show the effectiveness of the proposed method.     

Maximum allowable delay bound of networked control systems with multi-step delay

This paper is concerned with a new method to obtain a maximum allowable delay bound guaranteeing the stability of networked control systems with multi-step delay. The proposed method is formulated in terms of linear matrix inequalities. Simulation results show that the proposed method is effective.     

Absolute stability of Lurie networked control systems

This paper is concerned with the absolute stability problem of networked control systems (NCSs) with the controlled plant being Lurie systems (Lurie NCSs), in which the network‐induced delays are assumed to be time‐varying and bounded. First, in consideration of both the time‐varying network‐induced delays and data packet dropouts, the Lurie NCSs can be modeled as a multiple‐delays Lurie system. Then, a delay‐dependent absolute stability condition is established by using the Lyapunov–Krasovskii method. Next, two approaches to controller design are proposed in the terms of simple algebra criteria, which are easily solved via the toolbox in Matlab. Furthermore, the main results can be extended to robust absolute stability of Lurie NCSs with the structured uncertainties, where robust absolute stability conditions and approaches to robust controller design are presented. Finally, two numerical examples are worked out to illustrate the feasibility and the effectiveness of the proposed method. Copyright © 2009 John Wiley & Sons, Ltd.     

A new networked predictive control approach for systems with random network delay in the forward channel

This article is concerned with the design of a networked predictive control (NPC) scheme with random network delay in the forward channel. A new design method of NPC is proposed. Correspondingly, the necessary and sufficient conditions on the stability of the closed-loop networked control system are derived. The merit of the proposed design method lies in its decreased conservativeness, which is achieved by packing the current predictive control signal with history predictive signals. By this means, the future plant input is known. Therefore, the state predictor can be designed such that its performance and stability will not be affected by the future input of the plant, while the existing design methods of NPC cannot do so. The proposed design method is shown to be much less conservative than the existing result through several examples.