Design of a Distributed Quantized Luenberger Filter for Bounded Noise

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Rego, FFC (Author) Other; Pu, Y (Author) Other; Alessandretti, A (Author) Other; Aguiar, AP (Author) FEUP; Pascoal, AM (Author) Other; Jones, CN (Author) Other

Conference proceedings International

Title: 2016 AMERICAN CONTROL CONFERENCE (ACC)

Pages: 6393-6398

American Control Conference (ACC)

Boston, MA, JUL 06-08, 2016

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-00M-HJC

DOI: 10.1109/acc.2016.7526675

Abstract (EN): This paper addresses the problem of distributed state estimation for linear systems with process and measurement noise, in the case of limited communication data rate, where the data exchanged between agents is quantized. We propose a linear distributed Luenberger observer and we derive a set of conditions on the design parameters of the quantizer to guarantee ultimate boundedness of the estimation error. The latter is shown to depend on the L-2 norm of the disturbance signals and on the number of bits. A numerical example illustrates the performance of the proposed algorithm.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6