DocumentCode :
3168042
Title :
Optimal co-design of control, scheduling and routing in multi-hop control networks
Author :
Smarra, F. ; D´Innocenzo, A. ; Di Benedetto, M.D.
Author_Institution :
Dept. of Electr. & Inf. Eng., Univ. of L´Aquila, L´Aquila, Italy
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
1960
Lastpage :
1965
Abstract :
A Multi-hop Control Network consists of a plant where the communication between sensors, actuators and computational units is supported by a (wireless) multi-hop communication network, and data flow is performed using scheduling and routing of sensing and actuation data. Given a SISO LTI plant, we will address the problem of co-designing a digital controller and the network parameters (scheduling and routing) in order to guarantee stability and maximize a performance metric on the transient response to a step input, with constraints on the control effort, on the output overshoot and on the bandwidth of the communication channel. We show that the above optimization problem is a polynomial optimization problem, which is generally NP-hard. We provide sufficient conditions on the network topology, scheduling and routing such that it is computationally feasible, namely such that it reduces to a convex optimization problem.
Keywords :
actuators; computational complexity; control system synthesis; digital control; optimal control; optimisation; radiocommunication; sensors; telecommunication control; telecommunication network management; telecommunication network routing; telecommunication network topology; NP-hard problem; SISO LTI plant; actuators; communication channel; computational unit; digital controller; linear time-invariant plant; multihop communication network; multihop control network; network topology; optimal codesign; performance metric; polynomial optimization problem; routing parameter; scheduling parameter; sensors; single-input single-output plant; sufficient condition; transient response; wireless communication network; Computational modeling; Controllability; Data models; Job shop scheduling; Optimal scheduling; Processor scheduling; Routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426249
Filename :
6426249
Link To Document :
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