摘要
针对外部干扰信号为峰值有界的不确定时滞系统,提出一种新的基于T-S模糊模型的鲁棒1滤波方法.根据平行分布补偿法(PDC)和Lyapunov稳定性理论,构造模糊基依赖Lyapunov-Krasovskii泛函,并利用积分不等式方法,建立基于T-S模糊模型的不确定时滞系统的时滞相关峰值—–峰值(L_1)性能判据.最后通过LMI技术将鲁棒1滤波器设计问题转化为LMIs的凸优化求解问题.仿真示例验证了所提出方法的有效性.
A new robust L_1 filtering method for a class of uncertain time-delay systems with peak-bounded external disturbances based on T-S fuzzy model is proposed. According to the parallel distributed compensation(PDC) and Lyapunov theory, a fuzzy basis-dependent Lyapunov-Krasovskii function is constructed. By adopting the integral inequality method, a delay-dependent peak-to-peak(L_1) criterion is firstly established for the uncertain time-delay systems based on the T-S fuzzy model. By using the LMI technique, the robust L_1 filtering problem can be casted into a convex optimization problem of LMIs. A numerical example is presented to illustrate the effectiveness of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2016年第5期895-900,共6页
Control and Decision
基金
东北石油大学研究生创新科研项目(YJSCX2014-029NEPU)
东北石油大学校内培育基金项目(XN2014112)
黑龙江省自然科学基金项目(F201403)
黑龙江省博士后科学研究发展基金项目(LBH-Q13177)