H2 and $H_\infty$ Robust Filtering for Discrete-Time Linear Systems
SIAM Journal on Control and Optimization
Branch-and-Cut Algorithms for the Bilinear Matrix Inequality Eigenvalue Problem
Computational Optimization and Applications
Linear Systems
Computer Controlled Systems: Theory and Design
Computer Controlled Systems: Theory and Design
Brief paper: Stabilization of linear systems over networks with bounded packet loss
Automatica (Journal of IFAC)
Brief paper: Sampled-data control of networked linear control systems
Automatica (Journal of IFAC)
Modeling and control of networked control systems with random delays
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
Packet-based control: The H2-optimal solution
Automatica (Journal of IFAC)
Uniform stabilization of discrete-time switched and Markovian jump linear systems
Automatica (Journal of IFAC)
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In this paper, the problem of robust filter design for networked systems with time-varying sampling rate is investigated. The design conditions are obtained by using the Lyapunov theory and the Finsler's Lemma. A robust filter, that minimizes an upper bound to the H∞ performance of the estimation error, is obtained as the solution of an optimization problem. A path-dependent Lyapunov function is used in order to obtain less conservative design conditions. Robust filters based on affine parameter-dependent Lyapunov functions can be obtained as a particular case of the proposed method. Numerical examples illustrate the results.