Multi-rate Sampled-data Observers Based on a Continuous-time Design
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2017 IEEE. A multi-rate sampled-data observer for nonlinear systems under asynchronous sampling is developed in this work. The proposed multi-rate observer is based on a continuous-Time design coupled with inter-sample predictors for the sampled measurements. The sampled-data system with the multi-rate observer forms a hybrid system and it is shown that the error dynamics of the overall system is input-To-output stable with respect to measurement errors, by applying the KarafyllisJiang vector small-gain theorem. This sampled-data design also offers robustness with respect to perturbations in the sampling schedule. A numerical example is given to show the effectiveness of the proposed method.
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2017 IEEE 56th Annual Conference on Decision and Control (CDC)