Linear functional observer design for unknown input system and its application to disturbance attenuation problems

Suzuki, Ryoichi; Kudou, T.; Ikemoto, Motoki; Minami, M.; Kobayashi, Nobuaki

doi:10.1109/cca.2005.1507156

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…This work was later extended in [9] to reduced order observers. [11] proposes a reduced order dynamic observer with an H ∞ performance measure. In [12] a new dynamic framework, based on the one given in [13], is used to design an H ∞ filter for Lipschitz nonlinear systems with unknown inputs.…”

Section: Introductionmentioning

confidence: 99%

Filter design for linear discrete-time systems with unknown disturbances and quantized measurements

Charandabi

Marquez

2014

2014 American Control Conference

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In this paper, an unknown input filter is proposed for discrete-time linear systems with quantized measurements. The approach uses a slightly modified model of the system to estimate both the system states and the unknown input simultaneously. Two well-known quantization methods, namely linear and logarithmic, are studied and a specific design procedure is derived for each case. For the linear case, the quantization error is modelled as measurement noise and for the logarithmic case, it is modelled as a norm-bounded uncertainty. In the end, simulation results are used to illustrate the effectiveness of the proposed filter.

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