Quantised H∞ filtering for networked systems with random sensor packet losses

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Quantised H∞ filtering for networked systems with random sensor packet losses

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This study is concerned with the quantised H∞ filtering problem for discrete-time systems subject to limited communication capacity, which includes measurement quantisation and random sensor packet losses. By introducing an improved quantised random packet-loss model, the effects of the packet-loss rate and the upper bound of consecutive packet losses and the quantisation on the system performance are considered simultaneously. A quantised H∞ filter design strategy with the minimised static quantiser range is designed to guarantee the error system exponentially mean-square stable and also achieve the prescribed H∞ disturbance attenuation level. A numerical example is given to illustrate the effectiveness of the proposed filter design method.

Inspec keywords: filtering theory; H∞ control; packet radio networks; discrete time systems; mean square error methods; asymptotic stability; distributed control

Other keywords: measurement quantisation; discrete-time system; sensor packet loss; mean-square stable; H∞ disturbance attenuation; quantised H∞ filtering; packet-loss rate

Subjects: Discrete control systems; Filtering methods in signal processing; Radio links and equipment; Signal processing theory; Interpolation and function approximation (numerical analysis); Stability in control theory; Interpolation and function approximation (numerical analysis); Optimal control

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