Title :
Event-based filtering for discrete time-varying systems
Author :
Hongli Dong ; Zidong Wang ; Derui Ding
Author_Institution :
Inst. for Autom. Control & Complex Syst., Univ. of Duisburg-Essen, Duisburg, Germany
Abstract :
In this paper, the event-based finite-horizon filtering problem is investigated for discrete time-varying systems. For the purpose of reducing communication, a general event generator is employed to determine the event time instant and then transmit the measurement output to the remote time-varying filter. By utilizing the stochastic analysis techniques, sufficient conditions are derived for a finite-horizon filter to satisfy the prescribed H∞ performance requirement. These conditions are expressed in terms of the feasibility of a series of recursive linear matrix inequalities. The effectiveness of the proposed filter design scheme is illustrated by a numerical simulation.
Keywords :
H∞ control; discrete time systems; filtering theory; linear matrix inequalities; stochastic processes; time-varying systems; H∞ performance requirement; discrete time-varying systems; event-based finite-horizon filtering problem; filter design scheme; general event generator; recursive linear matrix inequalities; remote time-varying filter; stochastic analysis techniques; sufficient conditions; Educational institutions; Kalman filters; Linear matrix inequalities; Robot sensing systems; State estimation; Symmetric matrices; Time-varying systems; Event-based mechanism; Finite-horizon filtering; Time-varying systems;
Conference_Titel :
Automation and Computing (ICAC), 2014 20th International Conference on
Conference_Location :
Cranfield
DOI :
10.1109/IConAC.2014.6935472