Reduced-Order $$H_{infty }$$ Filtering with Intermittent Measurements for a Class of 2D Systems

[摘要] The problem of (H_{infty }) filter design for a class of 2D systems is solved here in the presence of intermittent measurements. Data dropouts are characterized using a stochastic variable satisfying the Bernoulli random binary distribution. Our attention is focused on the design of reduced-order (H_{infty }) filters such that the filtering error 2D stochastic system is robust mean-square asymptotically stable and fulfills a given (H_{infty }) disturbance attenuation level. We use a new formulation for a class of 2D system Fornasini–Marchesini (FM) models. A sufficient condition is established by means of the linear matrix inequalities (LMI) technique. The efficiency and viability of the proposed techniques and tools are demonstrated through a set of numerical examples...

[学科分类] 自动化工程

[关键词] Robust filtering ;2D systems ;(H_{infty });Intermittent measurements ;Data dropouts ;Linear matrix inequalities (LMIs)