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1.
A novel H∞ filter design methodology has been presented for a general class of nonlinear systems. Different from existing nonlinear filtering design, the nonlinearities are approximated using neural networks, and then are modeled based on linear difference inclusions, which makes the structure of the desired filter simpler and parameter turning easier and has the advantages of guaranteed stability, numeral robustness, bounded estimation accuracy. A unified framework is established to solve the addressed H∞ filtering problem by exploiting linear matrix inequality (LMI) approach. A numerical example shows that the filtering error systems will work well against bounded error between a nonlinear dynamical system and a multilayer neural network. 相似文献
2.
A class of hybrid multi-rate control models with time-delay and switching controllers are formulated based on combined remote control and local control strategies. The problem of robust dissipative control for this discrete system is investigated. An improved Lyapunov-Krasovskii functional is constructed and the subsequent analysis provides some new sufficient conditions in the form of LMIs for both nominal and uncertain representations. Several special cases of practical interests are derived. A numerical simulation example is given to illustrate the effectiveness of the theoretical result. 相似文献
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In this paper, the problem of H∞ filtering for neutral systems with mixed time-varying delays and nonlinear perturbations is investigated. Some new delay-dependent sufficient conditions are presented to ensure that the filtering error system is asymptotically stable with a prescribed level of H∞ noise attenuation. In addition, the design procedures for the existence of such filter are presented in terms of a set of linear matrix inequalities (LMIs). Slack variables and convex combination technique are adopted to reduce the conservatism of obtained results. Finally, three numerical examples are given to illustrate the effectiveness of the proposed method. 相似文献
4.
讨论了一类具有区间时变时滞的不确定随机系统的稳定性问题.利用区间时滞的上、下界信息,构造了一个新颖的Lyapunov-Krasovskii泛函.以线性矩阵不等式(LMIs)形式给出了时滞相关稳定性的充分判据,利用Matlab工具箱可以很容易对这些判据进行检验.推导过程基于Jensen积分不等式方法,避免了系统模型变换和交叉项有界等易于产生保守性的方法的使用,故得出判据的保守性小于文献中已有的结果.由于在获得的稳定性条件中没有引入多余的矩阵变量,因此所得判据的计算复杂度明显降低.最后,用一个数值例子说明了该方法的有效性和具有的优势. 相似文献
5.
时滞广泛存在于工程实践中,时滞往往是引起系统不稳定甚至导致系统性能恶化的重要因素之一,并且时滞的存在给系统的稳定性分析及控制器设计都带来了很大的困难．在过去30年中,控制界对时滞系统的分析、综合和控制的研究兴趣不断提高．主要介绍利用Lyapunov稳定性定理和线性矩阵不等式工具给出的时滞相关的渐近稳定性和控制的充分条件．构造新的Lyapunov-Krsovskii泛函,基于线性矩阵不等式和自由权矩阵方法得到保守性低的结果是近年学者们的主要研究工作．时滞系统的研究面,临很多挑战,但它必将具有广阔的理论和应用前景．最后,简单指出了今后的研究方向． 相似文献
6.
具有输入时滞的关联不确定大系统的分散鲁棒控制 总被引：4，自引：0，他引：4
研究了一类同时具有输入时滞以及不确定参数的关联大系统的稳定性问题.基于所谓的还原法,给出一种新的状态反馈控制器的设计方法,这种方法的不同之处在于利用了时延的大小以及反馈控制的历史信息.根据Lyapunov稳定性理论得到了系统在控制器作用下稳定的充分条件,所有条件都化成可解的标准线性矩阵不等式(LMIs)形式.最后给出了一个数值例子,说明结果的可行性,并和一般无记忆的控制器相比较,说明建立的控制器有着更好的性能. 相似文献
7.
为了克服数据量化、网络诱导时滞、网络丢包及错序对非线性网络控制系统造成的影响,采用T-S模糊建模方法建立了一个新的非线性网络控制系统模型,并在系统模型中加入2个时变量化器.主要分析方法在于通过构造一个改进的区间时滞依赖的李雅普诺夫函数,并引入自由权矩阵.利用并行分布式补偿技术和矩阵函数的凸性,得出了改进系统的稳定和镇定的条件.仿真实验表明,通过求解一组线性矩阵不等式,可得保证系统渐近稳定并满足一定性能的控制器参数和量化器参数.在具有非线性的弹簧系统中的应用验证了所提方法的有效性. 相似文献
8.
A delay distribution based stability analysis and synthesis approach for networked control systems 总被引：1，自引：0，他引：1
Communication delays in networked control systems (NCSs) has been shown to have non-uniform distribution and multifractal nature. This paper proposes a delay distribution based stability analysis and synthesis approach for NCSs with non-uniform distribution characteristics of network communication delays. A stochastic control model related with the characteristics of communication networks is established to describe the NCSs. Then, delay distribution-dependent NCS stability criteria are derived in the form of linear matrix inequalities (LMIs). Also, the maximum allowable upper delay bound and controller feedback gain can be obtained simultaneously from the developed approach by solving a constrained convex optimization problem. Numerical examples showed that the results derived from the proposed method are less conservativeness than those derived from the existing methods. 相似文献
9.
This paper deals with the problem of non-fragile guaranteed cost control for a class of uncertain stochastic nonlinear time-delay systems. The parametric uncertainties are assumed to be time-varying and norm bounded. The time-delay factors are unknown and time-varying with known bounds. The aim of this paper is to design a memoryless non-fragile state feedback control law such that the closed-loop system is stochastically asymptotically stable in the mean square for all admissible parameter uncertainties and the closed-loop cost function value is not more than a specified upper bound. A new sufficient condition for the existence of such controllers is presented based on the linear matrix inequality (LMI) approach. Then, a convex optimization problem is formulated to select the optimal guaranteed cost controller which minimizes the upper bound of the closed-loop cost function. Numerical example is given to illustrate the effectiveness of the developed techniques. 相似文献
10.
SU Cheng-li WANG Shu-qing 《浙江大学学报(A卷英文版)》2006,7(10):1723-1732
INTRODUCTION In recent years, research on nonlinear model predictive control has attracted significant attention because most practical processes are nonlinear. In industry process control, model predictive controllers based on linear models (LMPC) are often used to control nonlinear systems. When the operating con- ditions undergo significant changes, the performance of LMPC can deteriorate drastically. Under such conditions, predictive control based on nonlinear models (NMPC) shoul… 相似文献