Title :
An integration framework for Control/Communication/Computation (3C) co-design with application in fleet control of AUVs
Author :
Farhadi, Alireza ; De Wit, Carlos Canudas
Author_Institution :
Sch. of Eng., Univ. of Melbourne, Melbourne, VIC, Australia
Abstract :
In this paper we introduce an integration framework for Control/Communication/Computation (3C) co-design based on the motivating example of fleet control of Autonomous Underwater Vehicles (AUVs) supervised by an Autonomous Surface Vehicle (ASV). Specifically, we address the problem of almost sure stability of an unstable system with multiple observations over the packet erasure channel with emphasize on coding computational complexity. We look at the tradeoff between duty cycle for feedback channel use, coding computational complexity, and performance. We compare coding computational complexity and performance for two cases: a) No feedback channel at all, and b) Feedback channel all the time. It is shown that the strategy of using feedback channel results in a better performance.
Keywords :
autonomous underwater vehicles; computational complexity; stability; 3C; ASV; AUV; autonomous surface vehicle; autonomous underwater vehicles; coding computational complexity; control/communication/computation; feedback channel; fleet control; integration framework; packet erasure channel; unstable system; Computational complexity; Decoding; Encoding; Estimation error; Stability analysis; Switches;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6160603