Model based predictive control over wireless sensor and actuator networks

Author

Gil, P. ; Paulo, A. ; Palma, L. ; Amâncio, A. ; Cardoso, A.

Author_Institution

Dept. de Eng. Electrotec., Univ. Nova de Lisboa, Lisbon, Portugal

fYear

2011

fDate

7-10 Nov. 2011

Firstpage

2600

Lastpage

2605

Abstract

Model based predictive control over wireless sensor and actuator networks is considered. To deal with time varying round trip latencies and data dropout it is proposed a formulation where the true open loop networked system dynamics is approximated using recursive identification techniques based on the dual unscented Kalman filter. Experimental results using a testbed show the relevance of the implemented approach.

Keywords

Kalman filters; actuators; approximation theory; open loop systems; predictive control; regression analysis; wireless sensor networks; actuator network; data dropout; dual unscented Kalman filter; model based predictive control; open loop networked system dynamics; recursive identification technique; round trip latency; wireless sensor network; Actuators; Delay; Predictive control; Predictive models; Vectors; Wireless communication; Wireless sensor networks; Wireless sensor and actuator networks; distribution approximation Kalman filter; model based predictive control; packet loss; round trip latencies;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society

Conference_Location

Melbourne, VIC

ISSN

1553-572X

Print_ISBN

978-1-61284-969-0

Type

conf

DOI

10.1109/IECON.2011.6119720

Filename

6119720