含观测器的非线性控制系统的实用稳定性

含观测器的非线性控制系统的实用稳定性胡刚（广东工学院基础部广州５１００９０）关键词：观测器，实用稳定性，偏差区域，Ｓｃｈｗａｒｚ不等式１引言文［１］明确地提出了实用稳定性的概念．由于实用稳定性的现实意义，许多学者对它的理论及应用进行了大量的研究工作，...     

基于自校正控制的水泥配料微机控制系统

本文介绍了一个适用于水泥生料配料生产过程的自适应控制系统。文中详述了一种实用的自校正算法，实际运行结果表明该算法是可行的和有效的，有很好的鲁棒性。     

用Visual Basic实现的工业数据监控系统

本文以一个实际投入运行的工业数据监控系统为例，介绍了基于ＶＢ的上层计算机工控软件的设计及其实现。文中涉及利用ＶＢ实现工控软件的几项关键技术，包括通信、数据库、ＡｃｔｉｖｅＸ Ｅｘｅ等，实践证明了ＶＢ用于工业控制系统控制软件设计的可行性，对其它控制系统的实现有一定的的参考价值。     

NCS中数据传输丢包与控制方法

解决数据包丢失是网络传输的一个基本问题,NCS中数据的丢失意味着会对控制系统的稳定性造成影响.本文研究了网络控制系统中单包丢弃和多包丢弃的现象和描述方法,分析了一种实用的补偿与控制方法.本研究可以看作是对NCS延时研究的一个主要补充.在NCS设计和实际使用过程中,正确对待丢包处理有时是提高系统稳定性的一种有效措施.     

NCS中数据传输丢包与控制方法

解决数据包丢失是网络传输的一个基本问题,NCS中数据的丢失意味着会对控制系统的稳定性造成影响。本文研究了网络控制系统中单包丢弃和多包丢弃的现象和描述方法,分析了一种实用的补偿与控制方法。本研究可以看作是对NCS延时研究的一个主要补充。在NCS设计和实际使用过程中,正确对待丢包处理有时是提高系统稳定性的一种有效措施。     

分散控制系统的稳定性频域判据

本文给出一个针对分散型控制系统的稳定性频域判据,这个判据将大系统的稳定性分解 成N个小系统问题进行判别,因而具有很多优点.文中讨论了频域判据的物理意义,并将该判 据应用到分散控制器的增益设定和分散镇定补偿器的设计.最后给出一个数值例子.     

具有变时滞过程的微机控制系统

具有变时滞过程的微机控制系统张兴福ＴｈｅＭｉｃｒｏｃｏｍｐｕｔｅｒＣｏｎｔｒｏｌＳｙｓｔｅｍｗｉｔｈＶａｒｉａｂｌｅＴｉｍｅＤｅｌａｙＰｒｏｃｅｓｓ￥ＺｈａｎｇＸｉｎｇｆｕ引言过程工业中存在的时滞问题，特别是变时滞问题，是影响控制系统稳定性和控制品质...     

一类非线性跟踪系统的自适应控制及神经网络的设计方法

本文针对一类非线性系统，给出了非线性不同情况下此类非线性连续时间自适应控制方案及神经网络控制方案，由于在这种方案中控制法律的选择都是基于Ｌｙａｐｕｎｏｖ稳定性理论，都能够解决这类非线性系统的跟踪问题，并使整个环控制系统具有渐近稳定和参数渐近收敛特性，克服了许多神经网络控制系统中存在的稳定性问题，文中最后对两各发进行讨论及仿真。     

热带钢轧机活套多变量系统的控制

本文在传统活套控制研究的基础上，建立了活套支持器的多变量数学模型，并讨论了活套多变量系统控制方法。文中用实例说明了其基本性能，进行了仿真研究。结果证明，这种多变量控制系统实用、易行，在应用中可以得到良好的控制效果。     

异步自学习控制的频域稳定性分析

本文首先研究了一般频域形式的异步自学习控制系统的稳定性，然后基于渐消记忆和Ｅｋ＋１（ｓ）反馈，得到了一种稳定域更宽的重要变形，并证明了有关的定理一推论，给出了学习矩阵与稳定圆的几何关系，文中还进一步利用ＤＮＡ法，得到一个渐近稳定条件，给出若干结论。     

非线性系统的强实用鲁棒控制

分析输出具有给定时域性能的一类微分包含系统的控制问题。     

不确定线性系统的鲁棒切换函数变结构控制

针对工程领域中常见的一类不匹配不确定系统,即不确定性不是发生在控制通道中的系统,如工程中具有执行器的控制系统,提出了一种建立鲁棒切换函数的方法,进面设计滑模变结构鲁棒控制策略,该策略可确保整个闭环系统的轨迹是一致最终有界并具有稳定性,最后以船舶减摇鳍控制系统为例,进行了变结构鲁棒控制器设计。     

On exponential stability of linear networked control systems

This paper addresses exponential stability of linear networked control systems. More specifically, the paper considers a continuous‐time linear plant in feedback with a linear sampled‐data controller with an unknown time varying sampling rate, the possibility of data packet dropout, and an uncertain time varying delay. The main contribution of this paper is the derivation of new sufficient stability conditions for linear networked control systems taking into account all of these factors. The stability conditions are based on a modified Lyapunov–Krasovskii functional. The stability results are also applied to the case where limited information on the delay bounds is available. The case of linear sampled‐data systems is studied as a corollary of the networked control case. Furthermore, the paper also formulates the problem of finding a lower bound on the maximum network‐induced delay that preserves exponential stability as a convex optimization program in terms of linear matrix inequalities. This problem can be solved efficiently from both practical and theoretical points of view. Finally, as a comparison, we show that the stability conditions proposed in this paper compare favorably with the ones available in the open literature for different benchmark problems. Copyright © 2012 John Wiley & Sons, Ltd.     

一类不确定时延网络控制系统的稳定性分析

针对网络控制系统中时延不确定因素,将时延的不确定性转换为系统状态方程系数矩阵的不确定性,基于LMI和Lyapunov理论,研究了一类具有时延的网络控制系统的稳定性问题,并运用Lyapunov方法和线性矩阵不等式对不确定时延系统进行了稳定性分析。并以Riccati不等式和线性矩阵不等式的形式给出了系统稳定的充分条件,使得在不确定时延情况下,系统达到理想稳定性。最后,通过Matlab工具箱对数值结果进行仿真,在时延相关情况下,求得系统达到闭环稳定时最大允许的时延,表明了设计方法的有效性。     

一类具有Markov跳跃参数的不确定混合线性时滞系统鲁棒稳定性研究

讨论了一类具有Markov跳跃参数的不确定混合线性时滞系统的鲁棒稳定性问题．分别给出了非匹配条件下不确定部分范数上界已知时使混合线性系统以概率1渐近稳定的充分条件,和匹配条件下不确定部分范数上界未知时同样可以实现混合系统以概率1渐近稳定的鲁棒自适应控制设计方案．文章研究结果表明,此控制方案对混合线性时滞系统的不确定部分是有效的．     

Stability analysis and design of fuzzy control system with bounded uncertain delays

Fuzzy control problems for systems with bounded uncertain delays were studied.Based on Lyapunov stability theory and matrix theory,a nonlinear state feedback fuzzy controller was designed by linear matrix inequalities (LMI) approach,and the global exponential stability of the closed-loop system was strictly proved.For a fuzzy control system with bounded uncertain delays,under the global exponential stability condition which is reduced to p linear matrix inequalities,the controller guarantees stability performances of state variables.Finally,the simulation shows the validity of the method in this paper.     

Stability analysis and design of fuzzy control system with bounded uncertain delays

Fuzzy control problems for systems with bounded uncertain delays were studied. Based on Lyapunov stability theory and matrix theory, a nonlinear state feedback fuzzy controller was designed by linear matrix inequalities （LMI） approach, and the global exponential stability of the closed-loop system was strictly proved. For a fuzzy control system with bounded uncertain delays, under the global exponential stability condition which is reduced to p linear matrix inequalities, the controller guarantees stability performances of state variables. Finally, the simulation shows the validity of the method in tiffs paper.     

H∞ output tracking control of uncertain and disturbed nonlinear systems based on neural network model

The work presented in this paper seeks to address the tracking problem for uncertain continuous nonlinear systems with external disturbances. The objective is to obtain a model that uses a reference-based output feedback tracking control law. The control scheme is based on neural networks and a linear difference inclusion (LDI) model, and a PDC structure and H_∞ performance criterion are used to attenuate external disturbances. The stability of the whole closed-loop model is investigated using the well-known quadratic Lyapunov function. The key principles of the proposed approach are as follows: neural networks are first used to approximate nonlinearities, to enable a nonlinear system to then be represented as a linearised LDI model. An LMI (linear matrix inequality) formula is obtained for uncertain and disturbed linear systems. This formula enables a solution to be obtained through an interior point optimisation method for some nonlinear output tracking control problems. Finally, simulations and comparisons are provided on two practical examples to illustrate the validity and effectiveness of the proposed method.     

Less-conservative robust adaptive control of neutral systems with mixed time-delays

In this paper, the problem of robust stabilisation of a class of neutral-type uncertain linear systems via adaptive control approach is investigated. The neutral systems are assumed to be subjected to model uncertainties, disturbances and mixed time-delays. In comparison to the previous work in the literature, with the assumption that the states of the system and the delayed-states of the system with its derivatives are completely accessible, a new and less-conservative robust adaptive control algorithm is proposed. Based on Lyapunov–Krasovskii function, the model uncertainties and the disturbances are compensated and the stability of the uncertain neutral-type system is guaranteed. The tracking problem via model reference adaptive control is also considered. The most important characteristic of the proposed approach is to make the overall system stability constraints depend on desired arbitrary matrices, and not on the practical system matrices. This is achieved by means of adaptation techniques. Finally, three illustrative examples with numerical simulations are carried out to indicate the significant improvements over some existing results.     

On the output feedback stability for non-linear uncertain control systems

In this paper, we will study the stability problem by output feedback of a class of uncertain control systems, whose nominal part is linear and whose uncertain part is norm-bounded by a known function. We propose an output controller that forces the state to the origin, in the global exponential stability sense.