Optimal H-2 filtering with random sensor delay, multiple packet dropout and uncertain observations Export

@article{MSahebsara07, abstract = {This paper studies the problem of optimal filtering of discrete-time systems with random sensor delay, multiple packet dropout and uncertain observation. The random sensor delay, multiple packet dropout or uncertainty in observation is transformed to a stochastic parameter in the system representation. A new formulation enables us to design an optimal filter for a system with multiple packet dropout in sensor data. Based on a stochastic definition of the <a name="ILM0003"> </a>-norm of a system with a stochastic parameter, new relations for stochastic <a name="ILM0004"> </a>-norm are derived. The stochastic <a name="ILM0005"> </a>-norm of the estimation error is used as a criterion for the filter design. The relations derived for the new norm definition are used to obtain a set of linear matrix inequalities (LMIs) to solve the filter design problems. Simulation examples show the effectiveness of the proposed method.}, author = {Sahebsara, M. and Chen, T. and Shah, S. L.}, citeulike-article-id = {6071584}, citeulike-linkout-0 = {http://dx.doi.org/10.1080/00207170601019500}, doi = {10.1080/00207170601019500}, journal = {International Journal of Control}, keywords = {delay, dropout, filtering, h2, observation, packet, sensor, uncertain}, number = {2}, pages = {292--301}, posted-at = {2009-11-04 21:17:52}, priority = {2}, publisher = {Taylor \& Francis}, title = {Optimal H-2 filtering with random sensor delay, multiple packet dropout and uncertain observations}, url = {http://dx.doi.org/10.1080/00207170601019500}, volume = {80}, year = {2007} }

TY - JOUR ID - MSahebsara07 L3 - citeulike-article-id:6071584 N2 - This paper studies the problem of optimal filtering of discrete-time systems with random sensor delay, multiple packet dropout and uncertain observation. The random sensor delay, multiple packet dropout or uncertainty in observation is transformed to a stochastic parameter in the system representation. A new formulation enables us to design an optimal filter for a system with multiple packet dropout in sensor data. Based on a stochastic definition of the <a name="ILM0003"> </a>-norm of a system with a stochastic parameter, new relations for stochastic <a name="ILM0004"> </a>-norm are derived. The stochastic <a name="ILM0005"> </a>-norm of the estimation error is used as a criterion for the filter design. The relations derived for the new norm definition are used to obtain a set of linear matrix inequalities (LMIs) to solve the filter design problems. Simulation examples show the effectiveness of the proposed method. IS - 2 JF - International Journal of Control EP - 301 TI - Optimal H-2 filtering with random sensor delay, multiple packet dropout and uncertain observations PB - Taylor & Francis VL - 80 SP - 292 KW - delay KW - dropout KW - filtering KW - h2 KW - observation KW - packet KW - sensor KW - uncertain AU - Sahebsara, M AU - Chen, T AU - Shah, SL PY - 2007/// UR - http://dx.doi.org/10.1080/00207170601019500 ER -