A jump filter for uncertain dynamic systems with dropouts

Title: A jump filter for uncertain dynamic systems with dropouts
Creator: Dolz, D.; Quevedo, D.E.; Peñarrocha, I.; Sanchis, R.
Relation: 53rd Institute of Electrical and Electronics Engineers (IEEE) Conference on Decision and Control. Proceedings of the 53rd Institute of Electrical and Electronics Engineers (IEEE) Conference on Decision and Control (Los Angeles, CA 15-17 December, 2014) p. 5284-5289
Publisher Link: http://dx.doi.org/10.1109/CDC.2014.7040215
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2014
Description: In this work, we consider a state estimation problem for linear uncertain discrete-time systems over a network with dropouts. The uncertainty of the plant model is described by a norm-bounded time-varying parameter that affects the system matrix. We design a jump filter that minimizes an upper bound of the trace of the state estimation error covariance for all possible parameter uncertainties and whose gains are selected from a precalculated finite set depending on the possible measurement reception scenarios. The presented procedure allows us to relate the complexity of the jump filter to the achievable estimation performance.
Identifier: http://hdl.handle.net/1959.13/1342616
Identifier: uon:28992
Identifier: ISSN:0191-2216
Language: eng
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