机电工程与自动化

基于LMI的连续时间线性时滞系统有限频模型降阶

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  • 1. 上海大学机电工程与自动化学院, 上海200072;
    2. 华为技术有限公司, 上海200040
杜鑫(1983—), 男, 博士, 研究方向为模型降阶、控制系统优化设计等. E-mail: duxin@shu.edu.cn

收稿日期: 2014-12-02

  网络出版日期: 2016-08-30

基金资助

国家自然科学基金资助项目(61304143, 61174085)

LMI based approach for finite-frequency model order reduction of continuous-time linear time-delayed systems

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  • 1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China;
    2. Huawei Technology Co., Ltd., Shanghai 200040, China

Received date: 2014-12-02

  Online published: 2016-08-30

摘要

针对连续时间线性时滞系统, 研究了在系统工作频率范围为已知有限区间情形下的有限频模型降阶问题. 通过引入有限频域内误差传递函数的最大奇异值函数作为指标函数, 对模型逼近性能进行了刻画, 进而结合一些基础性的矩阵不等式技术和线性时滞系统性能进行分析, 得到了保持降阶模型稳定性的有限频模型逼近性能优化设计条件, 这些条件以线性矩阵不等式(linear matrix inequalities, LMIs)的形式表示, 易于检验和数值求解. 最后, 算例验证了结果的有效性.

本文引用格式

杜鑫1, 范培兵1, 刘夫伟2 . 基于LMI的连续时间线性时滞系统有限频模型降阶[J]. 上海大学学报(自然科学版), 2016 , 22(4) : 408 -420 . DOI: 10.3969/j.issn.1007-2861.2015.04.014

Abstract

Model order reduction of continuous-time linear time-delayed systems over limited frequency intervals is discussed in this paper. The approximation performance is characterized by introducing an index associated with the finite-frequency maximum singular value of the error transfer function. With the aid of some fundamental matrix inequality techniques, sufficient criterion for stability of the reduced-order model and optimizing finite-frequency approximation error is derived. The model order reduction problems can be tackled by solving the corresponding linear matrix inequalities (LMIs) based optimization problems. A numerical example is given to show effectiveness of the proposed technique.

参考文献

[1] Rozza G. Reduced order methods for modeling and computational reduction [M]. Berlin: Springer, 2014: 25-60.
[2] Peter B, Michael H, Maten T, et al. Model reduction for circuit simulation [M]. Berlin: Springer, 2011: 3-25.
[3] Antoulas A C, Sorensen D C. Approximation of large-scale dynamical systems: an overview [J]. Applied Mathematics and Computer Science, 2011, 11(5): 1093-1122.
[4] Ebihara Y, Tomomichi H. On H1 model reduction using LMIs [J]. IEEE Transactions on Automatic Control, 2004, 49(7): 1187-1191.
[5] Zhong Q C. Robust control of time-delay systems [M]. Berlin: Springer, 2006: 68-90.
[6] 张仲华, 孟庆勋, 锁要红. 一类具有病菌信息交流机制的时滞模型的稳定性[J]. 上海大学学报(自然科学版), 2013, 19(3): 308-314.
[7] Beattie C, Gugercin S. Interpolatory projection methods for structure-preserving model reduction[J]. Systems & Control Letters, 2009, 58(3): 225-232.
[8] Elias J, Tobias D, Wim M. Model reduction of time-delay systems using position balancing and delay Lyapunov equations [J]. Mathematics of Control, Signals, and Systems, 2013, 25(2): 147-166.
[9] Wang X,Wang Q, Zhang Z, et al. Balanced truncation for time-delay systems via approximate gramians [C]// Proceedings of the 16th Asia and South Pacific Design Automation Conference. 2011: 55-60.
[10] Wang X, Zhang Z, Wang Q, et al. Gramian-based model order reduction of parameterized time-delay systems [J]. International Journal of Circuit Theory and Applications, 2014, 42(7): 687-706.
[11] Zhou P, Xiang B, Fu J, et al. Model approximation of multiple delay transfer function models using multiple-point step response fitting [J]. International Journal of Control, Automation and Systems, 2012, 10(4): 180-185.
[12] Xu S, Lam J, Huang S, et al. H1 model reduction for linear time-delay systems: continuoustime case [J]. International Journal of Control, 2001, 74(11): 1062-1074.
[13] Xu S, Lam J, Zou Y. New results on delay-dependent robust H1 control for systems with time-varying delays [J]. Automatica, 2006, 42(2): 343-348.
[14] Gao H, Lam J, Wang C, et al. Hankel norm approximation of linear systems with time-varying delay continuous and discrete cases [J]. International Journal of Control, 2004, 77(17): 1503-1520.

[15] Wu L, ZhengWX.Weighted H1 model reduction for linear switched systems with time-varying delay [J]. Automatica, 2009, 45(1): 186-193.
[16] Lu H, Zhou W, Xu Y, et al. Time-delay dependent H1 model simplification for singular systems with Markovian jumping parameters [J]. Optimal Control Applications and Methods, 2011, 32(4): 379-395.
[17] 钟金标, 杜鑫, 朱训林. 一类离散奇异Markov跳变系统的镇定性[J]. 上海大学学报(自然科学版), 2014, 20(4): 513-520.
[18] Du X, Yang G H. H1 model reduction of linear continuous-time systems over finite-frequency interval [J]. IET Control Theory & Applications, 2010, 4(3): 499-508.
[19] Ding D W, Du X, Li X. Finite-frequency model reduction of two-dimensional digital filters [J]. IEEE Transactions on Automatic Control, 2014, 6(6): 1624-1629.
[20] Shi X, Ding D W, Li X, et al. Model reduction of discrete-time switched linear systems over finite-frequency ranges [J]. Nonlinear Dynamics, 2013, 71(1/2): 361-370.
[21] Li X, Yu C, Gao H. Frequency-limited H-infinity model reduction for positive systems [J]. IEEE Transactions on Automatic Control, 2014, 60(4): 1093-1098.
[22] Zhang X N, Yang G H. Performance analysis for multi-delay systems in finite frequency domains[J]. International Journal of Robust and Nonlinear Control, 2012, 22(8): 933-944.
[23] Zhang X N, Yang G H. Delay-dependent state feedback control with small gain conditions in finite frequency domains [J]. International Journal of Systems Science, 2011, 42(3): 369-375.
[24] 沈喆, 邢俊雷, 杨光红, 等. 时滞依赖H /H1 观测器的线性系统故障检测[J]. 控制理论与应用, 2013, 30(5): 592-596.

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