具有数据丢包的非线性奇异脉冲系统量化控制

考虑网络传输中存在的数据丢包和信号量化问题, 研究了基于数据丢包的非线性奇异脉冲系统设量化反馈控制器的设计方法. 首先给出一般非线性奇异脉冲系统的数学描述, 并在此基础上建立相应的具有丢包的闭环量化反馈控制系统的数学模型. 其次, 根据李雅普诺夫稳定性理论, 给出了奇异脉冲系统的渐近稳定的充分条件以及量化反馈控制器的设计方法. 应用本设计方法, 可以选择满足代数矩阵不等式条件的量化反馈增益, 实现系统渐近稳定. 最后通过对Chua混沌系统仿真, 表明利用本文设计的量化控制器能够保证闭环非线性奇异脉冲系统在具有数据丢包的情况下渐近稳定.     

基于网络丢包的混沌系统脉冲控制同步

针对混沌Chen系统,设计了考虑具有数据丢包的网络脉冲控制器,实现了混沌chen系统的同步。首先考虑一般非线性网络脉冲控制系统,应用Lyapunov稳定性理论,网络控制分析方法以及脉冲控制理论,考虑当网络中存在数据随机丢包情况下,分别讨论当系统在连续过程和脉冲发生时刻系统满足渐近稳定的条件,得到了该非线性脉冲系统渐近稳定的充分条件。然后针对混沌chen系统,应用该充分条件,得到混沌chen系统渐近稳定的相应条件。进一步考虑基于网络控制实现混沌chen系统的同步问题,应用该定理将其归结为通过设计网络脉冲控制器使得相应的误差系统渐近稳定。最后,利用matlab软件对上述非线性混沌chen系统进行数值仿真,得到了混沌chen系统的状态响应曲线和同步系统误差状态响应曲线,仿真结果验证了算法的正确性和有效性。     

基于网络丢包的混沌系统脉冲控制同步北大核心CSCD

针对混沌Chen系统,设计了考虑具有数据丢包的网络脉冲控制器,实现了混沌chen系统的同步。首先考虑一般非线性网络脉冲控制系统,应用Lyapunov稳定性理论,网络控制分析方法以及脉冲控制理论,考虑当网络中存在数据随机丢包情况下,分别讨论当系统在连续过程和脉冲发生时刻系统满足渐近稳定的条件,得到了该非线性脉冲系统渐近稳定的充分条件。然后针对混沌chen系统,应用该充分条件,得到混沌chen系统渐近稳定的相应条件。进一步考虑基于网络控制实现混沌chen系统的同步问题,应用该定理将其归结为通过设计网络脉冲控制器使得相应的误差系统渐近稳定。最后,利用matlab软件对上述非线性混沌chen系统进行数值仿真,得到了混沌chen系统的状态响应曲线和同步系统误差状态响应曲线,仿真结果验证了算法的正确性和有效性。     

网络遥操作系统中基于事件的预测控制策略

本文提出一种新的基于事件的预测控制策略, 在保证系统稳定的同时, 能适应环境的不断变化和应付突发事件, 极大提高了系统的操作性能. 该策略在主端设计一个基于时延预测的路径管理器, 在线产生一个适当的预测事件, 以提高跟踪性能以及环境适应能力和应付突发事件的发生; 在从端设计一个广义预测控制器, 产生冗余的控制信息以减小数据丢包和大时延对系统的影响, 提高系统的鲁棒稳定性和操作性能. 仿真试验结果表明本文方法能有效解决时变时延以及网络数据丢包引起的稳定性问题和性能下降问题.     

网络系统中动态矩阵控制的稳定性条件

网络控制系统中的时滞和丢包会影响控制器的稳定性;因此,传统的动态矩阵控制器设计方法无法适应网络化环境.本文针对这一问题设计了一种改进型动态矩阵控制器.通过建立缓存器将不确定时滞转化为固定时滞;并提出了一种更新系统单位阶跃响应系数的方法,用来处理时滞对控制器的影响.采用一次性传输整个控制序列的方法,避免了丢包时需要更新控制量的问题.此外,进一步分析了该控制系统的稳定性问题,给出了考虑时滞和丢包信息的系统稳定性充分条件.最后通过实时仿真软件示范了如何确定允许的最大时滞和丢包.验证了该方法的有效性.     

具有数据包丢失的网络控制系统主动容错控制

在保证稳定性的前提下,研究具有数据包丢失的网络控制系统主动容错控制问题.基于一类包含马尔可夫丢包过程的网络控制系统模型,考虑了执行器可能失效的情况.利用Lyapunov稳定性理论和线性矩阵不等式方法,获得了系统的保性能被动容错控制器.从控制性能的角度考虑,针对不同的执行器失效模式,得到了丢包网络环境下系统的主动客错控制器的设计方法.数值示例表明,该控制器设计方法是有效的.     

量化反馈系统的鲁棒预测控制

研究具有丢包的量化反馈系统的鲁棒预测控制器设计问题.所考虑的系统采用对数量化器,并给出了量化密度选择方法;网络中的丢包现象采用Bernoulli过程描述.主要目的是对控制信号进行量化,同时考虑量化后数据在网络传输过程中的丢包问题.设计了基于线性矩阵不等式(LMI)方法的鲁棒预测控制算法求解控制器,使得闭环系统渐近稳定,并满足一定的预测性能指标.最后通过仿真研究验证了所提出方法的有效性.     

带有丢包的线性参数变化系统的H∞控制

主要研究了一类带有Lipschitz非线性和随机通信丢包的线性参数变化系统（LPV）基于观测器的[H∞]控制问题。针对信号传递中的随机丢包,使用了已知条件概率分布的Bernoulli分布序列来描述。在随机丢包存在的情况下,利用李雅普诺夫稳定性定理得到了基于观测器的反馈控制器存在的充分条件,使得闭环网络LPV系统不仅是均方指数稳定的,而且满足预定的[H∞]扰动抑制性能指标;然后利用近似基函数和网格技术将无限维的线性矩阵不等式组的求解问题近似为有限维线性矩阵不等式组的求解问题,提出了一种线性矩阵不等式的方法,设计出了相应的[H∞]控制器。最后,通过数值仿真验证了所提方法的有效性。     

基于脉冲微分系统模型的有损网络控制系统研究

针对闭环网络控制系统,在考虑网络数据传输可能发生丢包的情况下,提出了一类切换系统模型,并在此基础上导出了一类脉冲微分系统模型.从数学上严格分析了该模型的合理性,并利用驻留时间的概念得到了此系统模型的稳定性条件,进一步研究了能够忍受一定程度的数据丢包的稳定化控制器设计问题.最后给出了一个具体示例.     

具有数据包丢失的网络控制系统主动容错控制

在保证稳定性的前提下,究具有数据包丢失的网络控制系统主动容错控制问题.基于一类包含马尔可夫丢包过程的网络控制系统模型,考虑了执行器可能失效的情况。利用Lyapunov稳定性理论和线性矩阵不等式方法,获得了系统的保性能被动容错控制器.从控制性能的角度考虑,针对不同的执行器失效模式,得到了丢包网络环境下系统的主动容错控制器的设计方法.数值示例表明,该控制器设计方法是有效的.

     

Impulsive controller design for singular networked control systems with packet dropouts

This paper considers the problem of impulsive time-delay control for singular networked impulsive control systems(SNICSs) and uncertain SNICSs both with network-induced delay and packet dropouts. The parameter uncertainty is assumed to be norm bounded. The problem to be addressed is the design of robust impulsive time-delay feedback controllers such that the exponential stability of the resulting closed-loop system is guaranteed for admissible uncertainties. By applying Lyapunov function theory and Halanay Lemma, impulsive time-delay controller is derived through solving LMIs. Numerical examples are provided to demonstrate the application of the proposed method.     

Robust Stabilization of Uncertain Networked Control Systems with Data Packet Dropouts

The data packet dropouts phenomenon is usually inevitable when information transmit- ted among communication networks.In this paper,the robust stabilization problem for uncertain networked control systems with data packet dropouts is studied.First,an uncertain discrete-time switching system model is presented to describe these networked control systems.The stability equiv- alence is then proved between this switching system and an uncertain impulsive difference system. Moreover,a sufficient condition is obtained for the asymptotical stability of the nonlinear impulsive difference system.From this condition the robust stabilization problem is dealt with for the uncertain impulsive system.Main results are given in linear matrix inequalities.Finally a numerical example is given to illustrate the theoretical results.     

不确定有损网络控制系统的鲁棒镇定

The data packet dropouts phenomenon is usually inevitable when information transmitted among communication networks. In this paper, the robust stabilization problem for uncertain networked control systems with data packet dropouts is studied. First, an uncertain discrete-time switching system model is presented to describe these networked control systems. The stability equivalence is then proved between this switching system and an uncertain impulsive difference system. Moreover, a sufficient condition is obtained for the asymptotical stability of the nonlinear impulsive difference system. From this condition the robust stabilization problem is dealt with for the uncertain impulsive system. Main results are given in linear matrix inequalities. Finally a numerical example is given to illustrate the theoretical results.     

On the stability of networked impulsive control systems

In this paper, the stability of linear networked impulsive control systems is studied. The data dropout rate over N steps (DRNS) is defined, and the maximal allowable DRNS is computed, which provides a guideline for the system stability in the sense that, if the actual DRNS is less than this maximal value, then the system is asymptotically stable. To handle the network‐induced delays, a propagation unit based on the system model is introduced to the system. A necessary and sufficient condition for the asymptotical stability of the networked system with the propagation unit is derived. Furthermore, networked linearized impulsive control systems suffering from both transmission delays and data dropouts are also investigated. To design proper impulsive controllers for such systems, some algorithms are further proposed based on LMI techniques and V‐K iteration approaches. Finally, numerical examples are presented to illustrate the theoretical results. Copyright © 2011 John Wiley & Sons, Ltd.     

丢包网络化控制系统非脆弱量化H∞控制

针对非线性网络化控制（NCS）系统中控制器参数存在摄动的问题,考虑传感器—控制器和控制器—执行器均存在随机丢包和量化误差,提出了一种加性非脆弱量化H_∞控制器的设计方法．利用李亚普诺夫稳定性理论和线性矩阵不等式（LMI）方法,将该问题转化为线性矩阵不等式约束和线性目标函数的凸优化问题进行求解,给出了丢包下的非脆弱量化H_∞控制器存在的充分条件．所设计的控制器在容许的参数摄动、丢包概率和量化密度条件下,不仅能保证闭环NCS的稳定性和性能要求,而且是非脆弱的．数值仿真验证了所提方法的有效性．     

基于观测器的非线性网络控制系统容错控制

研究了一类基于观测器的非线性连续网络控制系统容错控制器设计问题.针对传感器采用时间驱动方式,控制器和执行器均采用事件驱动方式的网络控制系统,设计了观测器,建立了基于状态观测器的增广闭环系统模型.利用线性矩阵不等式和自由权矩阵的方法,推导出闭环系统渐近稳定的充分条件,给出了观测器和容错控制器协同设计的方法.实例仿真证明了所用方法的有效性.     

Robust disturbance attenuation for uncertain nonlinear networked control systems

This paper considers the problem of robust disturbance attenuation for a class of uncertain nonlinear networked control systems. Takagi-Sugeno fuzzy models are firstly employed to describe the nonlinear plant. Markov processes are used to model the random network-induced delays and data packet dropouts. The Lyapunov-Razumikhin method has been used to derive such a controller for this class of nonlinear systems such that it is stochastically stabilizable with a disturbance attenuation level. Sufficient conditions for the existence of such a controller are derived in terms of the solvability of bilinear matrix inequalities. An iterative algorithm is proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools. The effectiveness of the proposed design methodology is verified by a numerical example.     

Observer-based H-infinity control in multiple channel networked control systems with random packet dropouts

This paper investigates the observer-based $H_{\infty}$ control problem for networked control systems (NCSs) with random packet dropouts. A general packet dropout model with multiple independent stochastic variables in multiple channels case is adopted to describe the data missing in the limited communication channels. With the consideration of the sensor-to-controller and controller-to-actuator packet dropouts at the same time, a new method is proposed based on a separation lemma to design an observer-based $H_{\infty}$ controller, which exponentially stabilizes the closed-loop system in the sense of mean square and also achieves a prescribed $H_{\infty}$ disturbance attenuation level. A numerical example is given to illustrate the effectiveness of the proposed control method.