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On robust H-infinity filter design for uncertain neural systems: LMI optimization approach

机译:关于不确定神经系统的鲁棒H无限滤波器设计:LMI优化方法

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This article deals with the robust H-infinity, filtering problem for neutral delay differential systems with parametric uncertainties. A linear matrix inequality (LMI) approach is proposed to design the robust H-infinity filter such that the filtering system remains asymptotically stable and the bound of H-infinity. norm is minimized. The Lyapunov stability theory is used for analysis of the system. A numerical example is provided to illustrate the validity of proposed design approach. (C) 2003 Elsevier Inc. All rights reserved.
机译:本文讨论具有参数不确定性的中立型时滞差分系统的鲁棒H无限滤波问题。提出了一种线性矩阵不等式(LMI)方法来设计鲁棒的H-无穷大滤波器,使得滤波系统保持渐近稳定和H-无穷大的界限。规范被最小化。李雅普诺夫稳定性理论用于系统分析。数值例子说明了所提出设计方法的有效性。 (C)2003 Elsevier Inc.保留所有权利。

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