A consensus algorithm for networks with process noise and quantization error

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

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

Conference proceedings International

Title: 2015 53RD ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON)

Pages: 488-495

53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Monticello, IL, SEP 29-OCT 02, 2015

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-00K-GS2

DOI: 10.1109/allerton.2015.7447044

Abstract (EN): In this paper we address the problem of quantized consensus where process noise or external inputs corrupt the state of each agent at each iteration. We propose a quantized consensus algorithm with progressive quantization, where the quantization interval changes in length at each iteration by a pre-specified value. We derive conditions on the design parameters of the algorithm to guarantee ultimate boundedness of the deviation from the average of each agent. Moreover, we determine explicitly the bounds of the consensus error under the assumption that the process disturbances are ultimately bounded within known bounds. A numerical example of cooperative path-following of a network of single integrators illustrates the performance of the proposed algorithm.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8