Linear robust control
Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches
Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches
Automatica (Journal of IFAC)
Stability and stabilization of delayed T-S fuzzy systems: a delay partitioning approach
IEEE Transactions on Fuzzy Systems
Robust H∞ filtering for nonlinear stochastic systems
IEEE Transactions on Signal Processing
Reduced-order H∞ filtering for stochastic systems
IEEE Transactions on Signal Processing
Robust fuzzy filter design for nonlinear systems with persistent bounded disturbances
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Brief Robust filtering with guaranteed energy-to-peak performance - an LMI approach
Automatica (Journal of IFAC)
Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems
Automatica (Journal of IFAC)
Technical communique: Absolute stability of time-delay systems with sector-bounded nonlinearity
Automatica (Journal of IFAC)
Network-based H∞ filtering using a logic jumping-like trigger
Automatica (Journal of IFAC)
Hi-index | 22.15 |
This paper investigates the problem of L"2-L"~ filter design for a class of stochastic systems with time-varying delay. The addressed problem is the design of a full order linear filter such that the error system is asymptotically mean-square stable and a prescribed L"2-L"~ performance is satisfied. In order to develop a less conservative filter design, a new Lyapunov-Krasovskii functional (LKF) is constructed by decomposing the delay interval into multiple equidistant subintervals, and a new integral inequality is established in the stochastic setting. Then, based on the LKF and integral inequality, the delay-dependent conditions for the existence of L"2-L"~ filters are obtained in terms of linear matrix inequalities (LMIs). The resulting filters can ensure that the error system is asymptotically mean-square stable and the peak value of the estimation error is bounded by a prescribed level for all possible bounded energy disturbances. Finally, two examples are given to illustrate the effectiveness of the proposed method.