Ying Zhang, Ai-Guo Wu and Guang-Ren Duan. Enhanced H∞ Filtering for Continuous-time State-delayed Systems. International Journal of Automation and Computing, vol. 6, no. 2, pp. 159-163, 2009. DOI: 10.1007/s11633-009-0159-7
Citation: Ying Zhang, Ai-Guo Wu and Guang-Ren Duan. Enhanced H∞ Filtering for Continuous-time State-delayed Systems. International Journal of Automation and Computing, vol. 6, no. 2, pp. 159-163, 2009. DOI: 10.1007/s11633-009-0159-7

Enhanced H Filtering for Continuous-time State-delayed Systems

  • The H filtering problem for continuous-time polytopic uncertain time-delay systems is investigated. Attention is focused on the design of full-order filters guaranteeing a prescribed H attenuation level for the filtering error system. First, a simple alternative proof is given for an improved linear matrix inequality (LMI) representation of H performance. Then, based on the performance criterion which keeps Lyapunov matrices out of the product of system dynamic matrices, a suficient condition for the existence of robust estimators is formulated in terms of LMIs, and the corresponding filter design is cast into a convex optimization problem which can be effciently handled by using standard numerical algorithms. It is shown that the proposed design strategy allows the use of parameter-dependent Lyapunov functions and hence it is less conservative than some earlier results. A numerical example is employed to demonstrate the feasibility and advantage of the proposed design.
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