Paper Info
Title
Plug-and-Play Decentralized Model Predictive Control for Linear Systems
Abstract
In this technical note, we consider a linear system structured into physically coupled subsystems and propose a decentralized control scheme capable to guarantee asymptotic stability and satisfaction of constraints on system inputs and states. The design procedure is totally decentralized, since the synthesis of a local controller uses only information on a subsystem and its neighbors, i.e. subsystems coupled to it. We show how to automatize the design of local controllers so that it can be carried out in parallel by smart actuators equipped with computational resources and capable to exchange information with neighboring subsystems. In particular, local controllers exploit tube-based Model Predictive Control (MPC) in order to guarantee robustness with respect to physical coupling among subsystems. Finally, an application of the proposed control design procedure to frequency control in power networks is presented.
Year
DOI
Venue
2013
10.1109/TAC.2013.2254641
Automatic Control, IEEE Transactions
Keywords
Field
DocType
asymptotic stability,control system synthesis,decentralised control,linear systems,predictive control,MPC,asymptotic stability,control design,decentralized control,linear systems,local controller synthesis,model predictive control,physically coupled subsystems,plug-and-play decentralized model predictive control,smart actuators,Decentralized control,decentralized synthesis,large-scale systems,model predictive control,plug-and-play control,robust control
Control theory,Decentralised system,Algorithm design,Linear system,Control theory,Model predictive control,Robustness (computer science),Control engineering,Exponential stability,Mathematics,Automatic Generation Control
Journal
Volume
Issue
ISSN
58
10
0018-9286
Citations 
PageRank 
References 
30
1.95
10
Authors
3
Name
Order
Citations
PageRank
Stefano Riverso116717.28
Marcello Farina233536.83
Giancarlo Ferrari-Trecate383177.29