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- W1526373604 abstract "In this paper, we will address the design of parameter-dependent H infin filters for state estimation of an LPV plant with constant time-delay. It is assumed that the state-space data depend on parameters that are measurable in real-time. We will investigate the required conditions to satisfy both stability and Hinfin performance in terms of linear matrix inequalities (LMIs). We take the estimation error into account as the parameter of the performance index and design the filters to minimize the Lscr2-gain from noises to estimation error. We examine two classes of filters, one that is memoryless and another one that has memory in the filter dynamics. It is shown that the time-delayed filter results in reduced conservatism and improved performance. Illustrative example shows that the designed filters will have the ability to track the plant states in the presence of external disturbances" @default.
- W1526373604 created "2016-06-24" @default.
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- W1526373604 date "2005-07-27" @default.
- W1526373604 modified "2023-09-22" @default.
- W1526373604 title "Delay-Dependent H//sub∞/ Filtering for State-delayed LPV Systems" @default.
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- W1526373604 doi "https://doi.org/10.1109/.2005.1469810" @default.
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