Abstract
In this paper, we present an analysis of the vulnerability of a distributed model predictive control scheme. A distributed system can be easily attacked by a malicious agent that modifies the reliable information exchange. We consider different types of so-called insider attacks. In particular, we analyze a controller that is part of the control architecture that sends false information to others to manipulate costs for its own advantage. We propose a mechanism to protect or, at least, relieve the consequences of the attack in a typical distributed model predictive control negotiation procedure. More specifically, a consensus approach that dismisses the extreme control actions is presented as a way to protect the distributed system from potential threats. Two applications are considered as case studies, ie, an academic example involving the control of a distributed system with a single coupled input and a distributed local electricity grid of households. The results are presented via simulations to illustrate both the consequences of the attacks and the defense mechanisms.
Original language | English |
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Pages (from-to) | 601-621 |
Journal | Optimal Control Applications and Methods |
Volume | 39 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2018 |
Bibliographical note
Special Issue "Global and Robust Optimization of Dynamic Systems"Keywords
- optimal control applications
- predictive control
- robust control