Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/329249
Type: Congresso
Title: Output Feedback Control Applied To Car Pursuit Problem With Lossy Network
Author: Carvalho
Leonardo de P.; Palma
Jonathan M. O.; Goncalves
Alim P. C.
Abstract: In the last two decades the car pursuit problem has been heavily studied, mainly because it is a viable solution to minimize the occurrence of accidents on the road. The controller design usually considers that all measured signals are transmitted by a perfect network and that sensors and actuators do not fail. In a real implementation, these equipments may present failure and the network quality of transmission may not be fully reliable. Using Network Control System theory, it is possible to design a controller that takes into account the probabilities of failure in sensors, actuators or interruptions in signal communications. In this paper we compare the classical H-infinity output feedback controller with two different types of Markov Jump Linear Systems ( MJLS) controllers. We show that, on a network with 2 5 % packet loss rate, the proposed MJLS controllers outperform the classical H-infinity controllers by a factor of 10.
Subject: Markov Jump Linear System
H-infinity Norm
Networked Control System
Vehicle-following Problem
Editor: IEEE
New York
Rights: fechado
Identifier DOI: 10.1109/ARGENCON.2016.7585264
Address: http://ieeexplore.ieee.org/document/7585264/
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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