Event-based multi-objective filtering for multi-rate time-varying systems with random sensor saturation

Title:

Event-based multi-objective filtering for multi-rate time-varying systems with random sensor saturation

Creator:

Li, Hui , Lyu, Ming , and Du, Baozhu

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:8b890066-c377-445c-b16e-4bacda43d989
uuid:8b890066-c377-445c-b16e-4bacda43d989
doi:10.14736/kyb-2020-1-0081

Subject:

stochastic saturation, H∞ filtering, variance-constraints, event-triggered scheme, and multi-rate time-varying system

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This paper focuses on the multi-objective filtering of multirate time-varying systems with random sensor saturations, where both the variance-constrained index and the H∞ index are employed to evaluate the filtering performance. According to address issues, the high-frequency period of the internal state of the system is nondestructively converted to the low-frequency period, which determined by the measurement devices. Then the saturated output of multiple sensors is modeled as a sector bounded nonlinearity. At the same time, in order to reduce the communication frequency between sensors and filters, a communication scheduling rule is designed by the utilization of an event-triggered mechanism. By means of random analysis technology, the sufficient conditions are given to guarantee the preset H∞ performance and variance constraint performance indexes of the system, and then the solution of the desired filter is obtained by using linear matrix inequalities. Finally, the validity and effectiveness of the proposed filter scheme are verified by numerical simulation.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

81-106

Source:

Kybernetika | 2020 Volume:56 | Number:1

Harvested from:

CDK

Metadata only:

false